| Single Image Deraining#Rain100H#PSNR | |
| Question Answering#YahooCQA#P@1 | |
| Atari Games#Atari 2600 Private Eye#Score | |
| Speech Recognition#MediaSpeech#WER for Turkish | |
| 3D Point Cloud Classification#ModelNet40#Mean Accuracy | |
| Image Clustering#STL-10#Train Split | |
| Time Series Classification#WalkvsRun#NLL | |
| language_modeling#Text8#Number of params | |
| Cross-Lingual Document Classification#MLDoc Zero-Shot English-to-Chinese#Accuracy | |
| Weakly-supervised 3D Human Pose Estimation#Human3.6M#3D Annotations | |
| Semi-Supervised Video Object Segmentation#DAVIS 2017 (test-dev)#Jaccard (Decay) | |
| Image-to-Image Translation#Cityscapes Labels-to-Photo#FID | |
| Neural Architecture Search#ImageNet#Accuracy | |
| Human Pose Forecasting#Human3.6M#MAR, walking, 400ms | |
| Face Detection#WIDER Face (Medium)#AP | |
| Incremental Learning#CIFAR-100 - 50 classes + 10 steps of 5 classes#Average Incremental Accuracy | |
| Heterogeneous Node Classification#DBLP (PACT) 14k#Macro-F1 (60% training data) | |
| Text Simplification#PWKP / WikiSmall#SARI | |
| Network Pruning#ImageNet#Accuracy | |
| Line Segment Detection#York Urban Dataset#sAP10 | |
| Visual Dialog#VisDial v0.9 val#R@10 | |
| Link Prediction#WN18RR#MR | |
| Stereo-LiDAR Fusion#KITTI Depth Completion Validation#RMSE | |
| Question Answering#WikiHop#Test | |
| Colorectal Gland Segmentation:#CRAG#Dice | |
| Image Super-Resolution#Set14 - 4x upscaling#MOS | |
| Semantic Segmentation#NYU Depth v2#Mean IoU | |
| Fine-Grained Image Classification#DF20 - Mini#F1 - macro | |
| Node Classification#Squirrel#Accuracy | |
| Recommendation Systems#Netflix#Recall@50 | |
| 6D Pose Estimation using RGB#LineMOD#Mean ADD | |
| Unsupervised Machine Translation#WMT2016 German-English#BLEU | |
| Video Retrieval#LSMDC#text-to-video R@5 | |
| Video Retrieval#LSMDC#text-to-video R@1 | |
| Semantic Segmentation#S3DIS#oAcc | |
| Recommendation Systems#Netflix#Recall@20 | |
| Image Classification#ImageNet ReaL#Params | |
| Natural Language Inference#SNLI#Parameters | |
| Lesion Segmentation#Anatomical Tracings of Lesions After Stroke (ATLAS)#Precision | |
| language_modeling#WikiText-2#Validation perplexity | |
| Lipreading#LRS2#Word Error Rate (WER) | |
| JPEG Artifact Correction#Live1 (Quality 10 Grayscale)#PSNR | |
| Word Sense Disambiguation#WiC-TSV#Task 3 Accuracy: general purpose | |
| Few-Shot Image Classification#Mini-ImageNet - 1-Shot Learning#Accuracy | |
| Image Super-Resolution#Set14 - 3x upscaling#SSIM | |
| Link Prediction#MovieLens 25M#Hits@10 | |
| Supervised Video Summarization#SumMe#F1-score (Canonical) | |
| Fine-Grained Image Classification#Oxford 102 Flowers#Accuracy | |
| Panoptic Segmentation#COCO panoptic#PQ | |
| summarization#CNN / Daily Mail (Anonymized version)#METEOR | |
| Link Prediction#Citeseer#AUC | |
| Action Recognition#EPIC-KITCHENS-100#Action@1 | |
| Face Detection#Annotated Faces in the Wild#AP | |
| Multimodal Machine Translation#Multi30K#Meteor (EN-DE) | |
| Image-to-Image Translation#Cityscapes Labels-to-Photo#mIoU | |
| Image Retrieval#Flickr30K 1K test#R@5 | |
| Image Retrieval#Flickr30K 1K test#R@1 | |
| Semi-Supervised Video Object Segmentation#DAVIS 2016#F-measure (Mean) | |
| Pedestrian Detection#CityPersons#Heavy MR^-2 | |
| Data-to-Text Generation#E2E NLG Challenge#METEOR | |
| Atari Games#Atari 2600 Skiing#Score | |
| Deblurring#RealBlur-R (trained on GoPro)#PSNR (sRGB) | |
| Semantic Retrieval#Contract Discovery#Soft-F1 | |
| Action Recognition#NTU RGB+D 120#Accuracy (Cross-Subject) | |
| Language Modelling#WikiText-103#Number of params | |
| Action Segmentation#50 Salads#F1@25% | |
| Paraphrase Identification#Quora Question Pairs#Accuracy | |
| Semi-Supervised Semantic Segmentation#Cityscapes 100 samples labeled#Validation mIoU | |
| Image Generation#CelebA 64x64#FID | |
| Time Series Classification#Libras#Accuracy | |
| Weakly-supervised 3D Human Pose Estimation#Human3.6M#Number of Frames Per View | |
| Robotic Grasping#Cornell Grasp Dataset#5 fold cross validation | |
| Referring Expression Segmentation#RefCOCO testB#IoU | |
| JPEG Artifact Correction#LIVE1 (Quality 20 Grayscale)#PSNR-B | |
| Visual Navigation#Cooperative Vision-and-Dialogue Navigation#spl | |
| Skeleton Based Action Recognition#Kinetics-Skeleton dataset#Accuracy | |
| Semi-Supervised Video Object Segmentation#DAVIS 2017 (test-dev)#F-measure (Mean) | |
| 3D Human Pose Estimation#3DPW#MPVPE | |
| Action Recognition#Something-Something V1#Top 5 Accuracy | |
| language_modeling#Text8#Bit per Character (BPC) | |
| Image Generation#LSUN Bedroom 256 x 256#FID | |
| Deblurring#RealBlur-J (trained on GoPro)#SSIM (sRGB) | |
| Skeleton Based Action Recognition#NTU RGB+D#Accuracy (CS) | |
| relation_prediction#FB15K-237#H@1 | |
| Video Captioning#YouCook2#METEOR | |
| Semantic Textual Similarity#STS Benchmark#Pearson Correlation | |
| Speech Recognition#LibriSpeech test-clean#Word Error Rate (WER) | |
| Video Retrieval#MSR-VTT#text-to-video R@10 | |
| Knowledge Graph Completion#FB15k-237#Hits@10 | |
| Graph Regression#ZINC 100k#MAE | |
| Open-Domain Question Answering#SearchQA#Unigram Acc | |
| Chinese Named Entity Recognition#OntoNotes 4#F1 | |
| Scene Text Detection#Total-Text#F-Measure | |
| Atari Games#Atari 2600 James Bond#Score | |
| Time Series Classification#CMUsubject16#NLL | |
| Skeleton Based Action Recognition#Varying-view RGB-D Action-Skeleton#Accuracy (CV I) | |
| Text-to-Image Generation#Multi-Modal-CelebA-HQ#LPIPS | |
| Graph Classification#IMDb-M#Accuracy | |
| Skeleton Based Action Recognition#NTU RGB+D#Accuracy (CV) | |
| Neural Architecture Search#CIFAR-10 Image Classification#Params | |
| Nested Mention Recognition#ACE 2004#F1 | |
| JPEG Artifact Correction#LIVE1 (Quality 20 Color)#SSIM | |
| Entity Linking#WiC-TSV#Task 1 Accuracy: all | |
| Semi-Supervised Video Object Segmentation#DAVIS 2017 (test-dev)#F-measure (Recall) | |
| Few-Shot Image Classification#CIFAR-FS 5-way (1-shot)#Accuracy | |
| Deblurring#RealBlur-R (trained on GoPro)#SSIM (sRGB) | |
| Action Recognition#Something-Something V2#GFLOPs | |
| Unsupervised Video Object Segmentation#DAVIS 2016#Jaccard (Recall) | |
| Conversational Response Selection#Ubuntu Dialogue (v1, Ranking)#R2@1 | |
| Music Source Separation#MUSDB18#SDR (bass) | |
| Language Modelling#Penn Treebank (Word Level)#Params | |
| Object Detection#PASCAL VOC 2007#MAP | |
| Common Sense Reasoning#CommonsenseQA#Accuracy | |
| JPEG Artifact Correction#ICB (Quality 20 Color)#SSIM | |
| Person Re-Identification#CUHK03 detected#Rank-1 | |
| Image Generation#ImageNet 128x128#FID | |
| Image Retrieval with Multi-Modal Query#Fashion200k#Recall@1 | |
| Dependency Parsing#Penn Treebank#LAS | |
| Time Series Classification#AUSLAN#NLL | |
| Language Modelling#Hutter Prize#Number of params | |
| Hand Pose Estimation#NYU Hands#Average 3D Error | |
| Conversational Response Selection#Ubuntu Dialogue (v1, Ranking)#R10@5 | |
| dependency_parsing#Penn Treebank#UAS | |
| Visual Dialog#VisDial v0.9 val#Mean Rank | |
| Conversational Response Selection#Ubuntu Dialogue (v1, Ranking)#R10@1 | |
| Conversational Response Selection#Ubuntu Dialogue (v1, Ranking)#R10@2 | |
| Semi-Supervised Video Object Segmentation#DAVIS 2016#F-measure (Decay) | |
| Person Re-Identification#CUHK03#MAP | |
| Retinal Vessel Segmentation#CHASE_DB1#F1 score | |
| Grayscale Image Denoising#Urban100 sigma25#PSNR | |
| Image-to-Image Translation#Cityscapes Labels-to-Photo#Class IOU | |
| Action Recognition#Something-Something V2#Parameters | |
| Question Answering#Natural Questions (short)#F1 | |
| Multivariate Time Series Forecasting#MIMIC-III#NegLL | |
| Brain Tumor Segmentation#BRATS-2015#Dice Score | |
| Paraphrase Identification#Quora Question Pairs#F1 | |
| Image Super-Resolution#BSD100 - 3x upscaling#PSNR | |
| RGB-D Salient Object Detection#STERE#max E-Measure | |
| language_modeling#Penn Treebank#Validation perplexity | |
| Click-Through Rate Prediction#Criteo#Log Loss | |
| Action Recognition#ActivityNet#mAP | |
| Domain Generalization#ImageNet-R#Top-1 Error Rate | |
| Domain Adaptation#USPS-to-MNIST#Accuracy | |
| Atari Games#Atari 2600 Crazy Climber#Score | |
| Heterogeneous Node Classification#DBLP (PACT) 14k#Macro-F1 (80% training data) | |
| Open-Domain Question Answering#Quasar#EM (Quasar-T) | |
| Question Answering#bAbi#Mean Error Rate | |
| Keypoint Detection#COCO test-challenge#AR | |
| Continuous Control#PyBullet Ant#Return | |
| Semi-Supervised Video Object Segmentation#DAVIS 2017 (val)#J&F | |
| Keypoint Detection#COCO test-challenge#AP | |
| Text Classification#TREC-6#Error | |
| Text Classification#Yelp-5#Accuracy | |
| Atari Games#Atari 2600 Ms. Pacman#Score | |
| Text Classification#AG News#Error | |
| Named Entity Recognition#SciERC#F1 | |
| Image Classification#Kuzushiji-MNIST#Accuracy | |
| Action Recognition#HACS#Top 5 Accuracy | |
| Few-Shot Image Classification#Stanford Cars 5-way (5-shot)#Accuracy | |
| Time Series Classification#CharacterTrajectories#Accuracy | |
| Coreference Resolution#CoNLL 2012#Avg F1 | |
| JPEG Artifact Correction#Classic5 (Quality 10 Grayscale)#PSNR | |
| Sentiment Analysis#Multi-Domain Sentiment Dataset#DVD | |
| Text based Person Retrieval#CUHK-PEDES#R@1 | |
| Multi-Person Pose Estimation#COCO#Validation AP | |
| Text based Person Retrieval#CUHK-PEDES#R@5 | |
| Language Modelling#WikiText-103#Validation perplexity | |
| Image-to-Image Translation#ADE20K Labels-to-Photos#Accuracy | |
| Recommendation Systems#Million Song Dataset#nDCG@100 | |
| Semi-Supervised Video Object Segmentation#DAVIS 2017 (val)#F-measure (Recall) | |
| Instance Segmentation#COCO test-dev#mask AP | |
| Extractive Text Summarization#CNN / Daily Mail#ROUGE-1 | |
| Action Classification#Kinetics-600#Top-5 Accuracy | |
| Text-to-Image Generation#Multi-Modal-CelebA-HQ#Real | |
| Action Segmentation#GTEA#Acc | |
| Self-Supervised Action Recognition#UCF101#3-fold Accuracy | |
| Extractive Text Summarization#CNN / Daily Mail#ROUGE-2 | |
| 3D Object Detection#KITTI Cyclists Easy#AP | |
| Image Generation#STL-10#Inception score | |
| Extractive Text Summarization#CNN / Daily Mail#ROUGE-L | |
| Visual Dialog#VisDial v0.9 val#R@5 | |
| Visual Dialog#VisDial v0.9 val#R@1 | |
| JPEG Artifact Correction#LIVE1 (Quality 20 Grayscale)#SSIM | |
| Text Summarization#DUC 2004 Task 1#ROUGE-1 | |
| Text Summarization#DUC 2004 Task 1#ROUGE-2 | |
| Grayscale Image Denoising#Urban100 sigma15#PSNR | |
| Dense Pixel Correspondence Estimation#HPatches#Viewpoint III AEPE | |
| 3D Part Segmentation#ShapeNet-Part#Class Average IoU | |
| Text Summarization#DUC 2004 Task 1#ROUGE-L | |
| Gesture-to-Gesture Translation#NTU Hand Digit#AMT | |
| RGB-D Salient Object Detection#SIP#Average MAE | |
| Nested Named Entity Recognition#ACE 2005#F1 | |
| Grayscale Image Denoising#BSD68 sigma25#PSNR | |
| Question Answering#FQuAD#F1 | |
| Question Answering#FQuAD#EM | |
| Atari Games#Atari 2600 Pong#Score | |
| Skeleton Based Action Recognition#Varying-view RGB-D Action-Skeleton#Accuracy (AV II) | |
| Image Super-Resolution#FFHQ 512 x 512 - 4x upscaling#MS-SSIM | |
| Semi-Supervised Video Object Segmentation#DAVIS 2017 (val)#Jaccard (Mean) | |
| Photo geolocation estimation#Im2GPS#Region level (200 km) | |
| Skeleton Based Action Recognition#Varying-view RGB-D Action-Skeleton#Accuracy (CS) | |
| Single Image Deraining#Test1200#SSIM | |
| Chinese Named Entity Recognition#MSRA#F1 | |
| Text-to-Image Generation#Multi-Modal-CelebA-HQ#FID | |
| Neural Architecture Search#NAS-Bench-201, ImageNet-16-120#Accuracy (val) | |
| Depth Completion#KITTI Depth Completion#MAE | |
| Few-Shot Image Classification#Mini-Imagenet 20-way (5-shot)#Accuracy | |
| Person Re-Identification#Market-1501#MAP | |
| Recommendation Systems#MovieLens 10M#RMSE | |
| Action Classification#Kinetics-400#Vid acc@1 | |
| Semantic Segmentation#S3DIS Area5#mIoU | |
| Action Classification#Kinetics-400#Vid acc@5 | |
| Image Super-Resolution#Set14 - 8x upscaling#SSIM | |
| Anomaly Detection#One-class CIFAR-10#AUROC | |
| Image Retrieval#CUB-200-2011#R@1 | |
| Node Classification#Cora#Validation | |
| Time Series Classification#DigitShapes#NLL | |
| Image Generation#CelebA-HQ 128x128#FID | |
| Atari Games#Atari 2600 Breakout#Score | |
| Action Segmentation#50 Salads#Acc | |
| Self-Supervised Action Recognition#HMDB51 (finetuned)#Top-1 Accuracy | |
| Emotion Recognition in Conversation#EmoryNLP#Weighted Macro-F1 | |
| Language Modelling#enwik8#Number of params | |
| Node Classification#Brazil Air-Traffic#Accuracy | |
| Music Source Separation#MUSDB18#SDR (other) | |
| Unsupervised Video Object Segmentation#DAVIS 2016#F-measure (Recall) | |
| Person Search#PRW#mAP | |
| Sentiment Analysis#Amazon Review Polarity#Accuracy | |
| Deblurring#GoPro#PSNR | |
| Named Entity Recognition#JNLPBA#F1 | |
| Object Detection#CrowdHuman (full body)#mMR | |
| Question Answering#CoQA#In-domain | |
| Action Segmentation#50 Salads#F1@50% | |
| Panoptic Segmentation#Cityscapes val#AP | |
| Image-to-Image Translation#SYNTHIA-to-Cityscapes#mIoU (13 classes) | |
| Keypoint Detection#COCO#Test AP | |
| Photo geolocation estimation#Im2GPS#City level (25 km) | |
| Fine-Grained Image Classification#Stanford Cars#Accuracy | |
| Trajectory Prediction#ETH/UCY#ADE-8/12 | |
| question_answering#SearchQA#N-gram F1 | |
| Single Image Deraining#Test2800#SSIM | |
| Breast Tumour Classification#PCam#AUC | |
| Real-Time Semantic Segmentation#Cityscapes test#Frame (fps) | |
| Person Re-Identification#MSMT17#Rank-1 | |
| JPEG Artifact Correction#ICB (Quality 10 Color)#PSNR | |
| Unsupervised MNIST#MNIST#Accuracy | |
| Vision and Language Navigation#VLN Challenge#success | |
| 3D Object Detection#KITTI Cars Moderate#AP | |
| Sentiment Analysis#TweetEval#Emoji | |
| Object Detection#iSAID#Average Precision | |
| language_modeling#WikiText-2#Test perplexity | |
| Image Super-Resolution#Urban100 - 3x upscaling#PSNR | |
| Panoptic Segmentation#COCO test-dev#PQ | |
| 3D Instance Segmentation#S3DIS#mPrec | |
| Atari Games#Atari-57#Medium Human-Normalized Score | |
| Image Classification#Tiered ImageNet 5-way (5-shot)#Accuracy | |
| Multi-Person Pose Estimation#MPII Multi-Person#AP | |
| Atari Games#Atari 2600 Asteroids#Score | |
| Instance Segmentation#COCO test-dev#AP75 | |
| Action Classification#AViD#Accuracy | |
| Face Alignment#WFLW#ME (%, all) | |
| Monocular 3D Human Pose Estimation#Human3.6M#Need Ground Truth 2D Pose | |
| Denoising#Darmstadt Noise Dataset#PSNR | |
| Atari Games#Atari 2600 Assault#Score | |
| Atari Games#Atari 2600 Time Pilot#Score | |
| Hand Pose Estimation#ICVL Hands#Average 3D Error | |
| Atari Games#Atari 2600 Robotank#Score | |
| Pose Estimation#COCO test-dev#APL | |
| Pose Estimation#COCO test-dev#APM | |
| Temporal Action Localization#ActivityNet-1.3#mAP IOU@0.95 | |
| Node Classification#Reddit#Accuracy | |
| Face Verification#IJB-A#TAR @ FAR=0.01 | |
| Pose Transfer#Deep-Fashion#IS | |
| Atari Games#Atari 2600 Gopher#Score | |
| Natural Language Inference#WNLI#Accuracy | |
| Visual Question Answering#GQA Test2019#Binary | |
| Hand Pose Estimation#MSRA Hands#Average 3D Error | |
| Heterogeneous Node Classification#DBLP (PACT) 14k#Micro-F1 (80% training data) | |
| Image Matting#Composition-1K#MSE | |
| named_entity_recognition#CoNLL 2003 (English)#F1 | |
| Node Classification#Europe Air-Traffic#Accuracy | |
| Temporal Action Localization#ActivityNet-1.3#mAP IOU@0.75 | |
| Atari Games#Atari 2600 Montezuma's Revenge#Score | |
| Unsupervised Video Object Segmentation#DAVIS 2016#F-measure (Decay) | |
| Real-Time Semantic Segmentation#CamVid#mIoU | |
| Semantic Segmentation#CamVid#Mean IoU | |
| Instance Segmentation#COCO test-dev#AP50 | |
| Question Answering#OpenBookQA#Accuracy | |
| Speech Recognition#LibriSpeech test-other#Word Error Rate (WER) | |
| Link Prediction#WN18RR#Hits@3 | |
| Panoptic Segmentation#Cityscapes val#PQ | |
| Link Prediction#WN18RR#Hits@1 | |
| Click-Through Rate Prediction#Company*#Log Loss | |
| Video Retrieval#MSR-VTT#text-to-video Median Rank | |
| Nested Named Entity Recognition#ACE 2004#F1 | |
| Color Image Denoising#Darmstadt Noise Dataset#PSNR (sRGB) | |
| Deblurring#HIDE (trained on GOPRO)#PSNR (sRGB) | |
| Image Generation#FFHQ#FID | |
| Video Captioning#YouCook2#CIDEr | |
| Session-Based Recommendations#Diginetica#MRR@20 | |
| Optical Flow Estimation#Sintel-final#Average End-Point Error | |
| Skeleton Based Action Recognition#J-HMDB#Accuracy (RGB+pose) | |
| Action Classification#Kinetics-400#Clip acc@5 | |
| Action Classification#Kinetics-400#Clip acc@1 | |
| RGB-D Salient Object Detection#NLPR#max E-Measure | |
| 3D Object Detection#KITTI Cyclists Hard#AP | |
| Multi-Frame Super-Resolution#PROBA-V#Normalized cPSNR | |
| Recommendation Systems#Flixster Monti#RMSE | |
| Semi-Supervised Video Object Segmentation#DAVIS 2016#Jaccard (Mean) | |
| Image-to-Image Translation#COCO-Stuff Labels-to-Photos#Accuracy | |
| Visual Question Answering#CLEVR#Accuracy | |
| Egocentric Activity Recognition#EPIC-KITCHENS-55#Actions Top-1 (S2) | |
| Self-Supervised Image Classification#ImageNet#Top 1 Accuracy | |
| Click-Through Rate Prediction#Avazu#AUC | |
| Few-Shot Image Classification#Meta-Dataset Rank#Mean Rank | |
| Natural Language Inference#RTE#Accuracy | |
| Time Series Classification#ECG#NLL | |
| Image Relighting#VIDIT’20 validation set#Runtime(s) | |
| Domain Adaptation#Office-Home#Accuracy | |
| Click-Through Rate Prediction#Bing News#AUC | |
| Domain Generalization#PACS#Average Accuracy | |
| Image Super-Resolution#Set5 - 3x upscaling#PSNR | |
| Multivariate Time Series Imputation#MuJoCo#MSE (10^2, 50% missing) | |
| Color Image Denoising#Darmstadt Noise Dataset#SSIM (sRGB) | |
| Scene Text Detection#ICDAR 2017 MLT#F-Measure | |
| Image Clustering#STL-10#Accuracy | |
| Few-Shot Image Classification#Tiered ImageNet 5-way (5-shot)#Accuracy | |
| Emotion Recognition in Conversation#EC#Micro-F1 | |
| Video Alignment#UPenn Action#Kendall's Tau | |
| Weakly Supervised Action Localization#ActivityNet-1.2#mAP@0.5 | |
| Keypoint Detection#MPII Multi-Person#mAP@0.5 | |
| Video Captioning#YouCook2#ROUGE-L | |
| Link Prediction#WordNet#Accuracy | |
| Image Classification#CIFAR-10#Percentage correct | |
| Single Image Deraining#Test100#SSIM | |
| Lesion Segmentation#Anatomical Tracings of Lesions After Stroke (ATLAS)#IoU | |
| Reading Comprehension#RACE#Accuracy (High) | |
| Object Detection#CrowdHuman (full body)#AP | |
| Text-to-Image Generation#COCO#FID | |
| Image Super-Resolution#FFHQ 1024 x 1024 - 4x upscaling#PSNR | |
| Anomaly Detection#MVTec AD#Detection AUROC | |
| Node Classification#Pubmed Full-supervised#Accuracy | |
| Referring Expression Segmentation#RefCoCo val#IoU | |
| Birds Eye View Object Detection#KITTI Cyclists Moderate#AP | |
| Hand Pose Estimation#HANDS 2017#Average 3D Error | |
| Grammatical Error Detection#CoNLL-2014 A2#F0.5 | |
| Image Super-Resolution#Set14 - 4x upscaling#SSIM | |
| Continuous Control#PyBullet Hopper#Return | |
| Aspect-Based Sentiment Analysis#SemEval 2014 Task 4 Subtask 1+2#F1 | |
| constituency_parsing#Penn Treebank#F1 | |
| Image Relighting#VIDIT’20 validation set#SSIM | |
| Object Counting#CARPK#MAE | |
| Atari Games#Atari 2600 Beam Rider#Score | |
| Metric Learning#CUB-200-2011#R@1 | |
| Image Generation#LSUN Bedroom 256 x 256#FID-10k-training-steps | |
| language_modeling#Hutter Prize#Bit per Character (BPC) | |
| Fact-based Text Editing#WebEdit#Exact Match | |
| Few-Shot Image Classification#CUB 200 5-way 5-shot#Accuracy | |
| Video Retrieval#MSVD#text-to-video Median Rank | |
| Visual Navigation#Cooperative Vision-and-Dialogue Navigation#dist_to_end_reduction | |
| Domain Adaptation#ImageCLEF-DA#Accuracy | |
| Fine-Grained Image Classification#DF20 - Mini#Top-1 | |
| Fine-Grained Image Classification#DF20 - Mini#Top-3 | |
| Part-Of-Speech Tagging#Penn Treebank#Accuracy | |
| Action Spotting#SoccerNet#Average-mAP | |
| Semi-Supervised Video Object Segmentation#YouTube-VOS#Jaccard (Unseen) | |
| Semi-Supervised Video Object Segmentation#DAVIS 2017 (test-dev)#J&F | |
| Face Detection#PASCAL Face#AP | |
| Atari Games#Atari 2600 Pitfall!#Score | |
| Image Super-Resolution#Set5 - 4x upscaling#MOS | |
| Human Pose Forecasting#Human3.6M#MAR, walking, 1,000ms | |
| Image Clustering#Extended Yale-B#NMI | |
| Person Re-Identification#DukeMTMC-reID#Rank-10 | |
| Click-Through Rate Prediction#Company*#AUC | |
| Link Prediction#YAGO3-10#MRR | |
| Image-to-Image Translation#ADE20K Labels-to-Photos#mIoU | |
| Text Simplification#ASSET#SARI (EASSE>=0.2.1) | |
| word_segmentation#PKU#F1 | |
| Dense Pixel Correspondence Estimation#HPatches#Viewpoint IV AEPE | |
| Human-Object Interaction Detection#HICO-DET#mAP | |
| Constituency Grammar Induction#PTB#Mean F1 (WSJ) | |
| Spoken language identification#LRE07#Average | |
| word_sense_disambiguation#Senseval 2#F1 | |
| Node Classification#Cora Full-supervised#Accuracy | |
| RGB Salient Object Detection#DUTS-TE#F-measure | |
| Video Captioning#YouCook2#BLEU-4 | |
| Atari Games#Atari 2600 Zaxxon#Score | |
| Image Classification#CINIC-10#Accuracy | |
| Image Super-Resolution#FFHQ 512 x 512 - 4x upscaling#NIQE | |
| Image Classification#WebVision-1000#Top-5 Accuracy | |
| Time Series Classification#UWave#NLL | |
| Data-to-Text Generation#E2E NLG Challenge#NIST | |
| Semantic Segmentation#S3DIS Area5#oAcc | |
| Monocular Depth Estimation#KITTI Eigen split unsupervised#absolute relative error | |
| Reading Comprehension#ReClor#Test | |
| Anomaly Detection#MVTec AD#Segmentation AUROC | |
| Deblurring#HIDE (trained on GOPRO)#SSIM (sRGB) | |
| Link Prediction#OpenBioLink#Hits@1 | |
| Text Classification#IMDb#Accuracy (10 classes) | |
| Link Prediction#OpenBioLink#Hits@3 | |
| Pose Tracking#PoseTrack2017#mAP | |
| Node Classification#Cora with Public Split: fixed 20 nodes per class#Accuracy | |
| sentiment_analysis#SemEval-2014 Task 4 subtask 2 Aspect Term Polarity#Restaurant (acc) | |
| Text-to-Image Generation#COCO#Inception score | |
| Causal Inference#IDHP#Average Treatment Effect Error | |
| 3D Part Segmentation#ShapeNet-Part#Instance Average IoU | |
| Heterogeneous Node Classification#DBLP (PACT) 14k#Macro-F1 (20% training data) | |
| Face Detection#FDDB#AP | |
| Fine-Grained Image Classification#Oxford 102 Flowers#PARAMS | |
| Natural Language Inference#MultiNLI#Mismatched | |
| Curved Text Detection#SCUT-CTW1500#F-Measure | |
| Photo geolocation estimation#Im2GPS#Street level (1 km) | |
| Keypoint Detection#COCO#Validation AP | |
| Fake News Detection#FNC-1#Per-class Accuracy (Discuss) | |
| Cross-Modal Retrieval#Flickr30k#Text-to-image R@5 | |
| Cross-Modal Retrieval#Flickr30k#Text-to-image R@1 | |
| Domain Adaptation#SYNTHIA-to-Cityscapes#mIoU | |
| Image Generation#LSUN Churches 256 x 256#FID | |
| Visual Object Tracking#TrackingNet#Normalized Precision | |
| JPEG Artifact Correction#LIVE1 (Quality 10 Color)#PSNR-B | |
| AMR Parsing#LDC2017T10#Smatch | |
| Time Series Classification#Shapes#NLL | |
| Machine Translation#WMT2016 Romanian-English#BLEU score | |
| Ad-Hoc Information Retrieval#TREC Robust04#P@20 | |
| Named Entity Recognition#CoNLL 2003 (English)#F1 | |
| Time Series Classification#PenDigits#Accuracy | |
| JPEG Artifact Correction#LIVE1 (Quality 20 Color)#PSNR-B | |
| Real-Time Semantic Segmentation#Cityscapes test#mIoU | |
| Monocular 3D Human Pose Estimation#Human3.6M#Frames Needed | |
| Question Answering#DROP Test#F1 | |
| Few-Shot Image Classification#Mini-Imagenet 10-way (1-shot)#Accuracy | |
| Action Recognition#HACS#Top 1 Accuracy | |
| language_modeling#WikiText-103#Validation perplexity | |
| Intent Detection#ATIS#Accuracy | |
| Scene Text Detection#SCUT-CTW1500#Recall | |
| Image Super-Resolution#Set14 - 2x upscaling#SSIM | |
| Node Classification#CiteSeer (1%)#Accuracy | |
| 3D Human Pose Estimation#Total Capture#Average MPJPE (mm) | |
| Automated Theorem Proving#HolStep (Conditional)#Classification Accuracy | |
| Audio Classification#AudioSet#Test mAP | |
| Fact-based Text Editing#WebEdit#SARI | |
| Natural Language Inference#QNLI#Accuracy | |
| Document Image Classification#RVL-CDIP#Accuracy | |
| Natural Language Inference#ANLI test#A2 | |
| Natural Language Inference#ANLI test#A1 | |
| Natural Language Inference#ANLI test#A3 | |
| Question Answering#Quasart-T#EM | |
| Image Super-Resolution#Manga109 - 3x upscaling#PSNR | |
| Word Sense Disambiguation#SemEval 2013 Task 12#F1 | |
| Semantic Textual Similarity#MRPC#F1 | |
| Object Counting#CARPK#RMSE | |
| Image Matting#Composition-1K#Conn | |
| Self-Supervised Action Recognition#UCF101 (finetuned)#3-fold Accuracy | |
| Multimodal Activity Recognition#Moments in Time Dataset#Top-1 (%) | |
| 3D Semantic Instance Segmentation#ScanNetV2#mAP@0.50 | |
| Video Super-Resolution#Vid4 - 4x upscaling#PSNR | |
| relation_prediction#WN18RR#H@1 | |
| Cross-View Image-to-Image Translation#Dayton (256×256) - aerial-to-ground#SSIM | |
| Language Modelling#enwik8#Bit per Character (BPC) | |
| Hyperspectral Image Classification#Indian Pines#Overall Accuracy | |
| Language Modelling#One Billion Word#PPL | |
| Chinese Named Entity Recognition#Weibo NER#F1 | |
| RGB-D Salient Object Detection#SIP#max E-Measure | |
| Question Answering#SQuAD1.1#F1 | |
| Question Answering#SQuAD1.1#EM | |
| Question Answering#NarrativeQA#Rouge-L | |
| Person Re-Identification#PRID2011#Rank-5 | |
| Person Re-Identification#PRID2011#Rank-1 | |
| Language Modelling#One Billion Word#Number of params | |
| Image Classification#Clothing1M#Accuracy | |
| JPEG Artifact Correction#ICB (Quality 20 Grayscale)#PSNR | |
| Node Classification#BlogCatalog#Macro-F1 | |
| Image Classification#iNaturalist 2018#Top-1 Accuracy | |
| RGB-D Salient Object Detection#DES#S-Measure | |
| Fake News Detection#FNC-1#Per-class Accuracy (Unrelated) | |
| Text Classification#DBpedia#Error | |
| Word Sense Disambiguation#SensEval 2#F1 | |
| Link Prediction#Pubmed#AUC | |
| Image Denoising#DND#SSIM (sRGB) | |
| Video Retrieval#MSR-VTT-1kA#text-to-video Median Rank | |
| Image Clustering#CIFAR-10#NMI | |
| Scene Text Detection#ICDAR 2013#Precision | |
| summarization#Gigaword#ROUGE-1 | |
| Atari Games#Atari 2600 Ice Hockey#Score | |
| summarization#Gigaword#ROUGE-2 | |
| Entity Linking#WiC-TSV#Task 1 Accuracy: domain specific | |
| summarization#Gigaword#ROUGE-L | |
| Image Relighting#VIDIT’20 validation set#PSNR | |
| Point Cloud Registration#3DMatch Benchmark#Recall | |
| Machine Translation#IWSLT2015 English-Vietnamese#BLEU | |
| Lesion Segmentation#ISIC 2018#Dice Score | |
| Atari Games#Atari 2600 Freeway#Score | |
| Action Recognition#AVA v2.1#mAP (Val) | |
| Grayscale Image Denoising#Set12 sigma50#PSNR | |
| 3D Object Detection#nuScenes#NDS | |
| Dialogue State Tracking#Wizard-of-Oz#Joint | |
| Sentiment Analysis#Multi-Domain Sentiment Dataset#Books | |
| Image Clustering#ImageNet-10#Accuracy | |
| Semantic Segmentation#Semantic3D#mIoU | |
| Image Clustering#Tiny-ImageNet#NMI | |
| Image Relighting#VIDIT’20 validation set#MPS | |
| Object Counting#Pascal VOC 2007 count-test#mRMSE | |
| JPEG Artifact Correction#ICB (Quality 10 Grayscale)#SSIM | |
| Crowd Counting#ShanghaiTech B#MAE | |
| Human-Object Interaction Detection#V-COCO#Time Per Frame(ms) | |
| Gesture-to-Gesture Translation#Senz3D#AMT | |
| 3D Human Pose Estimation#3D Poses in the Wild Challenge#MPJPE | |
| Keypoint Detection#COCO test-dev#AR | |
| Image Retrieval#Par6k#mAP | |
| Action Recognition#Something-Something V2#Top-1 Accuracy | |
| Graph Regression#PCQM4M-LSC#Test MAE | |
| Graph Classification#PTC#Accuracy | |
| Visual Question Answering#VQA v2 test-dev#Accuracy | |
| Anomaly Detection#Numenta Anomaly Benchmark#NAB score | |
| Semantic Segmentation#S3DIS#Mean IoU | |
| Sentiment Analysis#CR#Accuracy | |
| Image Classification#CIFAR-10#PARAMS | |
| Open-Domain Question Answering#SearchQA#EM | |
| Fine-Grained Image Classification#FGVC Aircraft#Accuracy | |
| Visual Object Tracking#TrackingNet#Precision | |
| Music Source Separation#MUSDB18#SDR (vocals) | |
| Text Summarization#Pubmed#ROUGE-L | |
| Link Prediction#Citeseer#AP | |
| Drug Discovery#QM9#Error ratio | |
| Text Summarization#Pubmed#ROUGE-1 | |
| Text Summarization#Pubmed#ROUGE-2 | |
| Visual Object Tracking#GOT-10k#Average Overlap | |
| Semi-Supervised Video Object Segmentation#DAVIS 2017 (val)#F-measure (Mean) | |
| Pedestrian Detection#CityPersons#Partial MR^-2 | |
| Visual Object Tracking#TrackingNet#Accuracy | |
| Multi-Person Pose Estimation#COCO#AP | |
| Atari Games#Atari 2600 Asterix#Score | |
| Image Classification#CIFAR-100#PARAMS | |
| Few-Shot Image Classification#Mini-Imagenet 20-way (1-shot)#Accuracy | |
| Cross-Lingual NER#CoNLL German#F1 | |
| RGB-D Salient Object Detection#STERE#S-Measure | |
| Image Super-Resolution#Manga109 - 3x upscaling#SSIM | |
| Temporal Action Localization#ActivityNet-1.3#mAP | |
| Link Prediction#FB15k-237#Hits@10 | |
| 3D Human Pose Estimation#HumanEva-I#Mean Reconstruction Error (mm) | |
| Atari Games#Atari 2600 Enduro#Score | |
| Photo geolocation estimation#Im2GPS#Country level (750 km) | |
| Scene Graph Generation#Visual Genome#Recall@50 | |
| Panoptic Segmentation#Mapillary val#PQ | |
| 3D Instance Segmentation#ScanNet(v2)#Mean AP @ 0.5 | |
| Skeleton Based Action Recognition#Varying-view RGB-D Action-Skeleton#Accuracy (CV II) | |
| Text Simplification#ASSET#BLEU | |
| Image Clustering#coil-100#NMI | |
| Skeleton Based Action Recognition#SBU#Accuracy | |
| Colorectal Gland Segmentation:#CRAG#Hausdorff Distance (mm) | |
| Image Super-Resolution#BSD100 - 2x upscaling#PSNR | |
| 6D Pose Estimation using RGB#LineMOD#Accuracy | |
| Speech Recognition#Switchboard + Hub500#Percentage error | |
| Link Prediction#FB15k#MR | |
| Text Simplification#Newsela#BLEU | |
| Data-to-Text Generation#E2E NLG Challenge#ROUGE-L | |
| Named Entity Recognition#GENIA#F1 | |
| Visual Question Answering#GQA Test2019#Distribution | |
| Image Classification#iNaturalist 2019#Top-1 Accuracy | |
| Image Classification#mini WebVision 1.0#ImageNet Top-5 Accuracy | |
| Head Pose Estimation#BIWI#MAE (trained with other data) | |
| Question Answering#TrecQA#MAP | |
| Visual Question Answering#VQA v1 test-std#Accuracy | |
| Sentiment Analysis#Yelp Fine-grained classification#Error | |
| Image Super-Resolution#FFHQ 512 x 512 - 4x upscaling#FED | |
| Image Super-Resolution#Manga109 - 8x upscaling#SSIM | |
| part-of-speech_tagging#VLSP 2013 POS tagging shared task#Accuracy | |
| Nested Named Entity Recognition#GENIA#F1 | |
| Hate Speech Detection#Ethos Binary#Classification Accuracy | |
| Machine Translation#WMT2016 English-Romanian#BLEU score | |
| Text based Person Retrieval#CUHK-PEDES#R@10 | |
| Visual Question Answering#GQA Test2019#Consistency | |
| Image Classification#ImageNet ReaL#Accuracy | |
| named_entity_recognition#VLSP 2016 NER shared task#F1 | |
| Atari Games#Atari 2600 Phoenix#Score | |
| Natural Language Inference#SNLI#% Train Accuracy | |
| Image Super-Resolution#FFHQ 512 x 512 - 4x upscaling#FID | |
| Visual Question Answering#CLEVR-Humans#Accuracy | |
| Image Clustering#STL-10#Backbone | |
| Node Classification#PubMed (0.03%)#Accuracy | |
| Sentiment Analysis#Yelp Binary classification#Error | |
| Skeleton Based Action Recognition#NTU RGB+D 120#Accuracy (Cross-Subject) | |
| Word Sense Disambiguation#SensEval 3 Task 1#F1 | |
| RGB-D Salient Object Detection#NLPR#Average MAE | |
| Dependency Parsing#Penn Treebank#POS | |
| Language Modelling#Penn Treebank (Character Level)#Bit per Character (BPC) | |
| Few-Shot Image Classification#Mini-Imagenet 5-way (10-shot)#Accuracy | |
| Graph Classification#NEURON-Average#Accuracy | |
| Node Classification#Cora (3%)#Accuracy | |
| sentiment_analysis#SUBJ#Accuracy | |
| amr_parsing#LDC2015E86#Smatch | |
| Part-Of-Speech Tagging#UD#Avg accuracy | |
| Atari Games#Atari 2600 Wizard of Wor#Score | |
| Pose Tracking#PoseTrack2017#MOTA | |
| 3D Object Reconstruction#Data3D−R2N2#3DIoU | |
| Real-time Instance Segmentation#MSCOCO#AP75 | |
| Visual Question Answering#MSVD-QA#Accuracy | |
| Few-Shot Image Classification#Meta-Dataset#Accuracy | |
| Sentiment Analysis#SST-5 Fine-grained classification#Accuracy | |
| Image Classification#WebVision-1000#ImageNet Top-5 Accuracy | |
| Atari Games#Atari 2600 Atlantis#Score | |
| Atari Games#Atari 2600 Road Runner#Score | |
| Image Super-Resolution#Urban100 - 2x upscaling#PSNR | |
| Semantic Segmentation#LIP val#mIoU | |
| Real-time Instance Segmentation#MSCOCO#AP50 | |
| Speech Recognition#WSJ eval92#Word Error Rate (WER) | |
| Domain Adaptation#Office-Caltech#Average Accuracy | |
| Relation Extraction#DocRED#F1 | |
| Node Classification#Wiki-Vote#Accuracy | |
| Semi-Supervised Video Object Segmentation#DAVIS 2016#J&F | |
| Language Modelling#Penn Treebank (Word Level)#Validation perplexity | |
| 3D Point Cloud Classification#ModelNet40#Overall Accuracy | |
| Retinal Vessel Segmentation#DRIVE#AUC | |
| Face Alignment#300W#AUC0.08 private | |
| Few-Shot Image Classification#CIFAR-FS 5-way (5-shot)#Accuracy | |
| 3D Object Detection#ScanNetV2#mAP@0.5 | |
| Multivariate Time Series Forecasting#MuJoCo#MSE (10^-2, 50% missing) | |
| Link Prediction#YAGO3-10#Hits@10 | |
| Graph Classification#RE-M5K#Accuracy | |
| Image Clustering#coil-100#Accuracy | |
| Text-to-Image Generation#Multi-Modal-CelebA-HQ#Acc | |
| Multiple Object Tracking#KITTI Tracking test#MOTA | |
| Document Classification#Cora#Accuracy | |
| Semantic Textual Similarity#SentEval#SICK-R | |
| Fake News Detection#FNC-1#Weighted Accuracy | |
| Semi-Supervised Video Object Segmentation#DAVIS 2017 (test-dev)#Jaccard (Mean) | |
| Semantic Textual Similarity#SentEval#SICK-E | |
| Self-Supervised Image Classification#ImageNet#Number of Params | |
| Object Detection#Waymo 2D detection all_ns f0val#COCO-style AP | |
| Few-Shot Image Classification#OMNIGLOT - 5-Shot, 20-way#Accuracy | |
| Question Answering#TrecQA#MRR | |
| Image Classification#mini WebVision 1.0#Top-1 Accuracy | |
| Neural Architecture Search#NAS-Bench-201, CIFAR-100#Accuracy (Val) | |
| Fine-Grained Image Classification#Stanford Cars#PARAMS | |
| Continuous Control#PyBullet Walker2D#Return | |
| Image-to-Image Translation#ADE20K Labels-to-Photos#FID | |
| Machine Translation#IWSLT2015 German-English#BLEU score | |
| Image Retrieval with Multi-Modal Query#Fashion200k#Recall@10 | |
| Time Series Classification#Wafer#NLL | |
| Self-Supervised Image Classification#ImageNet#Top 5 Accuracy | |
| Dialogue Act Classification#Switchboard corpus#Accuracy | |
| Time Series Classification#CMUsubject16#Accuracy | |
| Atari Games#Atari 2600 Bowling#Score | |
| Sentiment Analysis#TweetEval#Hate | |
| language_modeling#WikiText-2#Number of params | |
| Image Super-Resolution#FFHQ 256 x 256 - 4x upscaling#MS-SSIM | |
| 3D Multi-Object Tracking#KITTI#MOTA | |
| Graph Classification#COLLAB#Accuracy | |
| Gesture-to-Gesture Translation#NTU Hand Digit#IS | |
| 3D Multi-Object Tracking#KITTI#MOTP | |
| Link Prediction#Cora#AUC | |
| Sentiment Analysis#Multi-Domain Sentiment Dataset#Kitchen | |
| Image Retrieval#Oxf5k#MAP | |
| Text Classification#Ohsumed#Accuracy | |
| RGB-D Salient Object Detection#NJU2K#S-Measure | |
| Retinal OCT Disease Classification#OCT2017#Sensitivity | |
| Data-to-Text Generation#WebNLG#BLEU | |
| Image Retrieval with Multi-Modal Query#Fashion200k#Recall@50 | |
| 3D Object Detection#SUN-RGBD val#mAP@0.25 | |
| Machine Translation#WMT2014 English-German#SacreBLEU | |
| Fact-based Text Editing#WebEdit#F1 | |
| Few-Shot Semantic Segmentation#PASCAL-5i (1-Shot)#Mean IoU | |
| Time Series Classification#JapaneseVowels#NLL | |
| Synthetic-to-Real Translation#Syn2Real-C#Accuracy | |
| Few-Shot Image Classification#Stanford Cars 5-way (1-shot)#Accuracy | |
| Image Classification#Stanford Cars#Accuracy | |
| 3D Instance Segmentation#ScanNet(v2)#mAP | |
| Coreference Resolution#OntoNotes#F1 | |
| Image Generation#CelebA-HQ 1024x1024#FID | |
| Node Classification#Pubmed#Validation | |
| Multivariate Time Series Forecasting#USHCN-Daily#MSE | |
| Human-Object Interaction Detection#HICO#mAP | |
| Panoptic Segmentation#COCO test-dev#PQst | |
| Image Classification#MNIST#Percentage error | |
| Code Generation#WikiSQL#Execution Accuracy | |
| Image Super-Resolution#Urban100 - 8x upscaling#SSIM | |
| Relation Extraction#DocRED#Ign F1 | |
| Panoptic Segmentation#COCO test-dev#PQth | |
| Object Detection#Manga109-s 15test#COCO-style AP | |
| Instance Segmentation#Cityscapes test#Average Precision | |
| Action Classification#Charades#MAP | |
| Interactive Segmentation#GrabCut#NoC@85 | |
| Action Classification#Kinetics-400#Flops x views | |
| Image Clustering#Imagenet-dog-15#Accuracy | |
| Real-Time Object Detection#COCO#FPS | |
| Recommendation Systems#MovieLens 1M#nDCG@10 | |
| Speech Enhancement#DEMAND#CBAK | |
| word_sense_disambiguation#Senseval 3#F1 | |
| Semi-Supervised Image Classification#ImageNet - 1% labeled data#Top 1 Accuracy | |
| Recommendation Systems#Million Song Dataset#Recall@50 | |
| Named Entity Recognition#NCBI-disease#F1 | |
| Trajectory Prediction#Stanford Drone#ADE-8/12 @K = 20 | |
| Image Clustering#Fashion-MNIST#NMI | |
| Relation Extraction#TACRED#F1 | |
| Fine-Grained Image Classification#Stanford Dogs#Accuracy | |
| Link Prediction#Yelp#HR@10 | |
| Color Image Denoising#CBSD68 sigma50#PSNR | |
| Action Segmentation#50 Salads#F1@10% | |
| Cross-Lingual NER#CoNLL Spanish#F1 | |
| Machine Translation#WMT2014 English-French#BLEU score | |
| 3D Multi-Person Pose Estimation (absolute)#MuPoTS-3D#3DPCK | |
| Sentiment Analysis#TweetEval#Sentiment | |
| RGB-D Salient Object Detection#NJU2K#max F-Measure | |
| Atari Games#Atari 2600 Solaris#Score | |
| Depth Completion#KITTI Depth Completion#RMSE | |
| Entity Linking#WiC-TSV#Task 1 Accuracy: general purpose | |
| Action Segmentation#50 Salads#Edit | |
| Interactive Segmentation#GrabCut#NoC@90 | |
| Visual Dialog#Visual Dialog v1.0 test-std#R@5 | |
| Few-Shot Semantic Segmentation#PASCAL-5i (5-Shot)#Mean IoU | |
| Visual Dialog#Visual Dialog v1.0 test-std#R@1 | |
| Keypoint Detection#COCO test-dev#ARM | |
| Keypoint Detection#COCO test-dev#ARL | |
| Link Prediction#MovieLens 25M#nDCG@10 | |
| Image Super-Resolution#Set5 - 2x upscaling#PSNR | |
| Image Super-Resolution#Manga109 - 2x upscaling#PSNR | |
| Keypoint Detection#COCO test-dev#APM | |
| Question Answering#QASent#MAP | |
| Keypoint Detection#COCO test-dev#APL | |
| Unsupervised Domain Adaptation#Office-Home (RS-UT imbalance)#Average Per-Class Accuracy | |
| Visual Question Answering#COCO Visual Question Answering (VQA) real images 1.0 open ended#Percentage correct | |
| Hate Speech Detection#Ethos Binary#F1-score | |
| Action Segmentation#Breakfast#F1@25% | |
| relation_prediction#FB15K-237#H@10 | |
| Adversarial Defense#ImageNet (non-targeted PGD, max perturbation=4)#Accuracy | |
| Action Segmentation#Breakfast#Edit | |
| Domain Adaptation#MNIST-to-USPS#Accuracy | |
| Language Modelling#WikiText-103#Test perplexity | |
| Time Series Classification#Wafer#Accuracy | |
| Link Prediction#WN18#Hits@3 | |
| Link Prediction#WN18#Hits@1 | |
| Spoken language identification#VoxForge European#Accuracy (%) | |
| Birds Eye View Object Detection#KITTI Cars Hard#AP | |
| Time Series Classification#ECG#Accuracy | |
| Video Semantic Segmentation#CamVid#Mean IoU | |
| Link Prediction#FB15k-237#MRR | |
| Video Super-Resolution#Vid4 - 4x upscaling#MOVIE | |
| Neural Architecture Search#CIFAR-10#Parameters | |
| Face Verification#Labeled Faces in the Wild#Accuracy | |
| Unsupervised Domain Adaptation#Duke to MSMT#mAP | |
| Few-Shot Image Classification#CUB 200 5-way 1-shot#Accuracy | |
| Scene Text Detection#MSRA-TD500#Recall | |
| Machine Translation#IWSLT2015 English-German#BLEU score | |
| Sentiment Analysis#TweetEval#Offensive | |
| Cross-Lingual Document Classification#MLDoc Zero-Shot English-to-Spanish#Accuracy | |
| Fact-based Text Editing#WebEdit#Recall | |
| Semantic Textual Similarity#STS Benchmark#Spearman Correlation | |
| Vision and Language Navigation#VLN Challenge#error | |
| Image Clustering#Extended Yale-B#Accuracy | |
| Object Detection#COCO test-dev#AP75 | |
| Cross-Modal Retrieval#Flickr30k#Text-to-image R@10 | |
| Interactive Segmentation#DAVIS#NoC@85 | |
| Person Re-Identification#CUHK03#Rank-1 | |
| Atari Games#Atari 2600 Gravitar#Score | |
| Interactive Segmentation#DAVIS#NoC@90 | |
| Code Generation#WikiSQL#Exact Match Accuracy | |
| Few-Shot Image Classification#Mini-Imagenet 5-way (5-shot)#Accuracy | |
| Semi-Supervised Image Classification#cifar-100, 10000 Labels#Accuracy | |
| Object Detection#COCO minival#oLRP | |
| language_modeling#WikiText-103#Number of params | |
| Chinese Named Entity Recognition#Resume NER#F1 | |
| Entity Disambiguation#AIDA-CoNLL#In-KB Accuracy | |
| Speech Enhancement#DEMAND#CSIG | |
| language_modeling#Penn Treebank#Number of params | |
| Image Generation#CIFAR-10#FID | |
| Object Detection#COCO test-dev#AP50 | |
| Grayscale Image Denoising#Set12 sigma15#PSNR | |
| Semantic Role Labeling#CoNLL 2005#F1 | |
| JPEG Artifact Correction#Live1 (Quality 10 Grayscale)#SSIM | |
| Unsupervised Machine Translation#WMT2014 English-French#BLEU | |
| Semi-Supervised Video Object Segmentation#DAVIS 2017 (val)#Jaccard (Recall) | |
| Question Generation#SQuAD1.1#BLEU-4 | |
| Scene Text Detection#ICDAR 2015#Precision | |
| Cross-Lingual Document Classification#MLDoc Zero-Shot English-to-Russian#Accuracy | |
| 3D Object Detection#KITTI Cars Easy val#AP | |
| 3D Human Pose Estimation#3DPW#acceleration error | |
| Text Simplification#TurkCorpus#BLEU | |
| Semi-Supervised Image Classification#ImageNet - 10% labeled data#Top 5 Accuracy | |
| Unsupervised Image Classification#MNIST#Accuracy | |
| amr_parsing#LDC2014T12#F1 on Full | |
| dependency_parsing#benchmark Vietnamese dependency treebank VnDT#UAS | |
| Atari Games#Atari 2600 Video Pinball#Score | |
| Image Classification#EMNIST-Balanced#Accuracy | |
| Person Re-Identification#MARS#Rank-5 | |
| Image Clustering#MNIST-test#NMI | |
| Semantic Similarity#SICK#Spearman Correlation | |
| Person Re-Identification#MARS#Rank-1 | |
| Link Prediction#Yelp#nDCG@10 | |
| Neural Architecture Search#CIFAR-100#FLOPS | |
| Question Answering#Quora Question Pairs#Accuracy | |
| Word Sense Disambiguation#SemEval 2015 Task 13#F1 | |
| Speech Synthesis#North American English#Mean Opinion Score | |
| Fine-Grained Image Classification#NABirds#Accuracy | |
| Music Transcription#MusicNet#Number of params | |
| Link Prediction#FB15k#MRR | |
| Image Retrieval#Flickr30K 1K test#R@10 | |
| Mortality Prediction#MIMIC-III#Recall | |
| Text Simplification#PWKP / WikiSmall#BLEU | |
| Neural Architecture Search#CIFAR-100#PARAMS | |
| Semantic Role Labeling (predicted predicates)#CoNLL 2012#F1 | |
| Fact-based Text Editing#WebEdit#DELETE | |
| Grammatical Error Correction#CoNLL-2014 Shared Task#F0.5 | |
| Scene Text Detection#ICDAR 2015#Recall | |
| 3D Object Detection#KITTI Cars Hard#AP | |
| Neural Architecture Search#CIFAR-100#Percentage Error | |
| Cross-Lingual Document Classification#MLDoc Zero-Shot English-to-French#Accuracy | |
| Semi-Supervised Video Object Segmentation#DAVIS 2017 (test-dev)#F-measure (Decay) | |
| Aspect-Based Sentiment Analysis#SemEval 2014 Task 4 Laptop#F1 | |
| Node Classification#CiteSeer with Public Split: fixed 20 nodes per class#Accuracy | |
| Temporal Action Localization#THUMOS’14#mAP IOU@0.2 | |
| Temporal Action Localization#THUMOS’14#mAP IOU@0.3 | |
| Subjectivity Analysis#SUBJ#Accuracy | |
| Temporal Action Localization#THUMOS’14#mAP IOU@0.1 | |
| Temporal Action Localization#THUMOS’14#mAP IOU@0.6 | |
| Temporal Action Localization#THUMOS’14#mAP IOU@0.7 | |
| Temporal Action Localization#THUMOS’14#mAP IOU@0.4 | |
| Real-time Instance Segmentation#MSCOCO#APL | |
| Temporal Action Localization#THUMOS’14#mAP IOU@0.5 | |
| Real-time Instance Segmentation#MSCOCO#APM | |
| Question Answering#bAbi#Accuracy (trained on 10k) | |
| Real-time Instance Segmentation#MSCOCO#APS | |
| Speech Recognition#TIMIT#Percentage error | |
| Visual Dialog#Visual Dialog v1.0 test-std#Mean | |
| Graph Classification#NEURON-BINARY#Accuracy | |
| Language Modelling#Penn Treebank (Word Level)#Test perplexity | |
| Unsupervised Machine Translation#WMT2014 French-English#BLEU | |
| Video Retrieval#MSVD#text-to-video R@5 | |
| RGB-D Salient Object Detection#NJU2K#Average MAE | |
| Video Retrieval#MSVD#text-to-video R@1 | |
| text_classification#AG News#Error | |
| Pose Estimation#MPII Human Pose#PCKh-0.5 | |
| Scene Text Detection#MSRA-TD500#Precision | |
| 3D Human Pose Estimation#3DPW#PA-MPJPE | |
| Image Clustering#ImageNet-10#NMI | |
| Face Alignment#WFLW#FR@0.1(%, all) | |
| Image-to-Image Translation#COCO-Stuff Labels-to-Photos#FID | |
| relationship_extraction#New York Times Corpus#P@30% | |
| Fine-Grained Image Classification#Caltech-101#Top-1 Error Rate | |
| Human-Object Interaction Detection#V-COCO#MAP | |
| Conversational Response Selection#PolyAI Reddit#1-of-100 Accuracy | |
| Semi-Supervised Semantic Segmentation#Cityscapes 12.5% labeled#Validation mIoU | |
| Fact-based Text Editing#WebEdit#BLEU | |
| Neural Architecture Search#NAS-Bench-201, ImageNet-16-120#Accuracy (Test) | |
| Object Counting#Pascal VOC 2007 count-test#mRMSE-nz | |
| Sentiment Analysis#IMDb#Accuracy | |
| Image Generation#Binarized MNIST#nats | |
| 3D Object Detection#ScanNetV2#mAP@0.25 | |
| Lane Detection#CULane#F1 score | |
| Unsupervised Domain Adaptation#Duke to MSMT#rank-10 | |
| Image Clustering#Imagenet-dog-15#NMI | |
| Image Super-Resolution#Set14 - 3x upscaling#PSNR | |
| Dialogue State Tracking#Wizard-of-Oz#Request | |
| Pedestrian Detection#Caltech#Reasonable Miss Rate | |
| Instance Segmentation#COCO minival#mask AP | |
| Relation Extraction#ADE Corpus#RE+ Macro F1 | |
| Unsupervised Video Object Segmentation#DAVIS 2016#Jaccard (Decay) | |
| Semi-Supervised Image Classification#SVHN, 1000 labels#Accuracy | |
| Time Series Classification#KickvsPunch#NLL | |
| Person Re-Identification#CUHK03 labeled#Rank-1 | |
| Semi-Supervised Video Object Segmentation#YouTube-VOS#F-Measure (Unseen) | |
| JPEG Artifact Correction#LIVE1 (Quality 10 Color)#SSIM | |
| Atari Games#Atari 2600 Tennis#Score | |
| 3D Object Reconstruction#Data3D−R2N2#Avg F1 | |
| Question Answering#QASent#MRR | |
| Traffic Prediction#PeMS-M#MAE (60 min) | |
| Constituency Grammar Induction#PTB#Max F1 (WSJ) | |
| Conditional Image Generation#CIFAR-10#FID | |
| Visual Question Answering#VQA v2 test-std#yes/no | |
| Image Classification#Flowers-102#Accuracy | |
| Image Super-Resolution#Set5 - 4x upscaling#SSIM | |
| Recommendation Systems#MovieLens 1M#RMSE | |
| Action Segmentation#Breakfast#F1@10% | |
| Graph Classification#ENZYMES#Accuracy | |
| Unsupervised Facial Landmark Detection#MAFL#NME | |
| Keypoint Detection#COCO test-dev#AR50 | |
| Depth Completion#KITTI Depth Completion#Runtime [ms] | |
| Image Super-Resolution#FFHQ 512 x 512 - 4x upscaling#PSNR | |
| Image Super-Resolution#Urban100 - 4x upscaling#SSIM | |
| Constituency Parsing#Penn Treebank#F1 score | |
| Person Re-Identification#CUHK03 labeled#MAP | |
| Keypoint Detection#COCO test-dev#AR75 | |
| Panoptic Segmentation#Cityscapes val#mIoU | |
| Relation Extraction#ADE Corpus#NER Macro F1 | |
| Semi-Supervised Video Object Segmentation#YouTube#mIoU | |
| Object Detection#UAVDT#mAP | |
| Keypoint Detection#COCO test-challenge#ARL | |
| Keypoint Detection#COCO test-challenge#ARM | |
| Question Answering#WikiQA#MRR | |
| Image Generation#Cityscapes#FID-10k-training-steps | |
| Real-time Instance Segmentation#MSCOCO#Frame (fps) | |
| Few-Shot Image Classification#FC100 5-way (5-shot)#Accuracy | |
| word_segmentation#Chinese Treebank 6#F1 | |
| summarization#CNN / Daily Mail (Anonymized version)#ROUGE-2 | |
| summarization#CNN / Daily Mail (Anonymized version)#ROUGE-1 | |
| Cross-Lingual NER#CoNLL Dutch#F1 | |
| Natural Language Inference#FarsTail#% Test Accuracy | |
| Scene Text Detection#Total-Text#Precision | |
| Link Prediction#YAGO3-10#Hits@3 | |
| Link Prediction#YAGO3-10#Hits@1 | |
| Word Sense Disambiguation#SemEval 2007 Task 17#F1 | |
| Neural Architecture Search#CIFAR-10#Search Time (GPU days) | |
| 3D Object Detection#KITTI Pedestrians Hard#AP | |
| word_segmentation#VLSP 2013 word segmentation shared task#F1 | |
| Image Clustering#Tiny-ImageNet#Accuracy | |
| summarization#CNN / Daily Mail (Anonymized version)#ROUGE-L | |
| Visual Question Answering#VQA-CP#Score | |
| Node Classification#USA Air-Traffic#Accuracy | |
| Image Clustering#CIFAR-10#ARI | |
| Image/Document Clustering#pendigits#runtime (s) | |
| Action Segmentation#GTEA#Edit | |
| Weakly Supervised Action Localization#ActivityNet-1.3#mAP@0.5 | |
| Panoptic Segmentation#Cityscapes test#PQ | |
| taxonomy_learning#SemEval 2018#MAP | |
| AMR Parsing#LDC2014T12#F1 Full | |
| sentiment_analysis#SemEval-2014 Task 4 subtask 2 Aspect Term Polarity#Laptop (acc) | |
| Keypoint Detection#COCO test-challenge#APL | |
| Fundus to Angiography Generation#Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients#Kernel Inception Distance | |
| Hate Speech Detection#HateXplain#Accuracy | |
| Image Denoising#SIDD#SSIM (sRGB) | |
| Document Summarization#CNN / Daily Mail#ROUGE-1 | |
| Document Summarization#CNN / Daily Mail#ROUGE-2 | |
| Few-Shot Object Detection#MS-COCO (10-shot)#AP | |
| Time Series Classification#PenDigits#NLL | |
| word_segmentation#MSR#F1 | |
| 3D Human Pose Estimation#Human3.6M#Average MPJPE (mm) | |
| Semantic Segmentation#SkyScapes-Dense#Mean IoU | |
| Object Counting#COCO count-test#m-reIRMSE | |
| Visual Question Answering#GQA Test2019#Accuracy | |
| Speech Enhancement#DEMAND#PESQ | |
| Node Classification#Cornell#Accuracy | |
| Document Summarization#CNN / Daily Mail#ROUGE-L | |
| Grammatical Error Correction#BEA-2019 (test)#F0.5 | |
| Visual Question Answering#GQA test-std#Accuracy | |
| Click-Through Rate Prediction#Amazon#AUC | |
| Multimodal Machine Translation#Multi30K#BLEU (EN-DE) | |
| Skeleton Based Action Recognition#NTU RGB+D 120#Accuracy (Cross-Setup) | |
| Weakly Supervised Action Localization#THUMOS14#avg-mAP (0.3-0.7) | |
| Open-Domain Question Answering#SearchQA#N-gram F1 | |
| Keypoint Detection#COCO test-challenge#AR50 | |
| RGB-D Salient Object Detection#NJU2K#max E-Measure | |
| Domain Adaptation#SYNSIG-to-GTSRB#Accuracy | |
| Image Super-Resolution#FFHQ 256 x 256 - 4x upscaling#PSNR | |
| Keypoint Detection#COCO test-challenge#AR75 | |
| Retinal Vessel Segmentation#STARE#AUC | |
| Stochastic Optimization#CIFAR-100 WRN-28-10 - 200 Epochs#Accuracy | |
| Spoken language identification#LRE07#3 sec | |
| 3D Semantic Segmentation#SemanticKITTI#mIoU | |
| Text Summarization#arXiv#ROUGE-1 | |
| Text Summarization#arXiv#ROUGE-2 | |
| Image Matting#Composition-1K#SAD | |
| Vision and Language Navigation#VLN Challenge#length | |
| Object Counting#COCO count-test#mRMSE | |
| Scene Text Recognition#SVT#Accuracy | |
| Atari Games#Atari 2600 Demon Attack#Score | |
| Lipreading#Lip Reading in the Wild#Top-1 Accuracy | |
| Image Classification#Flowers-102#PARAMS | |
| Time Series Classification#CharacterTrajectories#NLL | |
| Text Summarization#arXiv#ROUGE-L | |
| question_answering#CNN / Daily Mail#Accuracy on Daily Mail | |
| Instance Segmentation#iSAID#Average Precision | |
| Single Image Deraining#Test1200#PSNR | |
| Visual Question Answering#VQA v1 test-dev#Accuracy | |
| Word Sense Disambiguation#SemEval 2007 Task 7#F1 | |
| Multimodal Activity Recognition#EV-Action#Accuracy | |
| Semi-Supervised Video Object Segmentation#DAVIS 2017 (val)#Jaccard (Decay) | |
| Image Super-Resolution#FFHQ 1024 x 1024 - 4x upscaling#MS-SSIM | |
| Entity Linking#WiC-TSV#Task 3 Accuracy: domain specific | |
| relationship_extraction#SemEval-2010 Task 8#F1 | |
| Recommendation Systems#MovieLens 1M#HR@10 | |
| Named Entity Recognition#ACE 2004#F1 | |
| Node Classification#Facebook#Accuracy | |
| Action Detection#Charades#mAP | |
| Atari Games#Atari 2600 Amidar#Score | |
| Image Classification#WebVision-1000#ImageNet Top-1 Accuracy | |
| Scene Text Detection#ICDAR 2017 MLT#Precision | |
| Fact-based Text Editing#WebEdit#KEEP | |
| Visual Object Tracking#LaSOT#AUC | |
| Image Classification#iNaturalist#Top 1 Accuracy | |
| Graph Classification#UPFD-POL#Accuracy (%) | |
| Skeleton Based Action Recognition#N-UCLA#Accuracy | |
| Scene Text Detection#ICDAR 2017 MLT#Recall | |
| Conditional Image Generation#ImageNet 128x128#FID | |
| language_modeling#1B Words / Google Billion Word benchmark#Test perplexity | |
| 6D Pose Estimation#YCB-Video#ADDS AUC | |
| Semi-Supervised Image Classification#CIFAR-10, 250 Labels#Accuracy | |
| Semi-Supervised Video Object Segmentation#YouTube-VOS#F-Measure (Seen) | |
| Image Super-Resolution#Manga109 - 4x upscaling#SSIM | |
| Panoptic Segmentation#COCO panoptic#PQst | |
| machine_translation#WMT 2014 EN-FR#BLEU | |
| Entity Linking#WiC-TSV#Task 3 Accuracy: all | |
| Pose Estimation#COCO test-dev#AP50 | |
| Few-Shot Image Classification#Stanford Dogs 5-way (5-shot)#Accuracy | |
| Panoptic Segmentation#COCO panoptic#PQth | |
| Atari Games#Atari 2600 Chopper Command#Score | |
| Time Series Classification#PEMS#NLL | |
| Question Answering#SQuAD2.0 dev#F1 | |
| Question Answering#SQuAD2.0 dev#EM | |
| Natural Language Inference#MultiNLI#Matched | |
| Dense Pixel Correspondence Estimation#HPatches#Viewpoint V AEPE | |
| Unsupervised Domain Adaptation#Market to Duke#mAP | |
| Time Series Classification#NetFlow#NLL | |
| Node Classification#PPI#F1 | |
| Temporal Action Proposal Generation#ActivityNet-1.3#AR@100 | |
| Sequential Image Classification#Sequential MNIST#Permuted Accuracy | |
| Click-Through Rate Prediction#Bing News#Log Loss | |
| Neural Architecture Search#CIFAR-10 Image Classification#Percentage error | |
| JPEG Artifact Correction#ICB (Quality 20 Color)#PSNR | |
| Data-to-Text Generation#WebNLG Full#BLEU | |
| Pose Estimation#Leeds Sports Poses#PCK | |
| Person Re-Identification#Market-1501#Rank-5 | |
| Semantic Segmentation#COCO-Stuff test#mIoU | |
| Person Re-Identification#Market-1501#Rank-1 | |
| JPEG Artifact Correction#LIVE1 (Quality 20 Grayscale)#PSNR | |
| Conditional Image Generation#CIFAR-10#Inception score | |
| Pose Estimation#COCO test-dev#AP75 | |
| Image Generation#CelebA 256x256#bpd | |
| Object Detection#KITTI Cars Easy#AP | |
| Reading Comprehension#RACE#Accuracy (Middle) | |
| Unsupervised Domain Adaptation#Cityscapes to Foggy Cityscapes#mAP@0.5 | |
| Real-Time Semantic Segmentation#Cityscapes test#Time (ms) | |
| Ad-Hoc Information Retrieval#TREC Robust04#MAP | |
| Image Clustering#CIFAR-100#Accuracy | |
| Image Clustering#USPS#Accuracy | |
| Question Answering#CNN / Daily Mail#CNN | |
| Image Retrieval#CARS196#R@1 | |
| Image Super-Resolution#Set5 - 8x upscaling#SSIM | |
| Fine-Grained Image Classification#Oxford-IIIT Pets#Top-1 Error Rate | |
| Neural Architecture Search#CIFAR-10#Top-1 Error Rate | |
| Image Clustering#USPS#NMI | |
| Real-Time Semantic Segmentation#NYU Depth v2#mIoU | |
| Node Classification#Citeseer Full-supervised#Accuracy | |
| Atari Games#Atari 2600 Battle Zone#Score | |
| Graph Regression#Lipophilicity#RMSE | |
| Video Instance Segmentation#YouTube-VIS validation#AP75 | |
| Image Classification#ImageNet V2#Top 1 Accuracy | |
| Action Segmentation#Breakfast#Acc | |
| Scene Text Recognition#ICDAR2013#Accuracy | |
| Few-Shot Image Classification#Tiered ImageNet 10-way (1-shot)#Accuracy | |
| Semantic Segmentation#S3DIS Area5#mAcc | |
| Cross-Modal Retrieval#COCO 2014#Image-to-text R@10 | |
| Object Counting#Pascal VOC 2007 count-test#m-relRMSE | |
| Link Prediction#FB15k-237#MR | |
| Spoken language identification#LRE07#10 sec | |
| Video Instance Segmentation#YouTube-VIS validation#AP50 | |
| Text Classification#R8#Accuracy | |
| Node Classification#Wikipedia#Macro-F1 | |
| Atari Games#Atari 2600 Alien#Score | |
| Atari Games#Atari 2600 Q*Bert#Score | |
| Single Image Deraining#Rain100L#PSNR | |
| Image Super-Resolution#Set14 - 8x upscaling#PSNR | |
| Question Answering#NarrativeQA#METEOR | |
| Single Image Deraining#Test2800#PSNR | |
| 3D Object Detection#nuScenes#mAP | |
| Optical Flow Estimation#Sintel-clean#Average End-Point Error | |
| Image Classification#Oxford-IIIT Pets#Accuracy | |
| Object Detection#KITTI Cars Moderate#AP | |
| Grayscale Image Denoising#Urban100 sigma50#PSNR | |
| Atari Games#Atari 2600 Defender#Score | |
| Zero-Shot Learning#SUN Attribute#average top-1 classification accuracy | |
| Semantic Textual Similarity#SentEval#MRPC | |
| Word Sense Disambiguation#WiC-TSV#Task 3 Accuracy: domain specific | |
| Few-Shot Object Detection#MS-COCO (30-shot)#AP | |
| relationship_extraction#New York Times Corpus#P@10% | |
| Few-Shot Image Classification#Mini-Imagenet 5-way (1-shot)#Accuracy | |
| 3D Human Pose Estimation#MPI-INF-3DHP#MJPE | |
| Graph Classification#HIV-fMRI-77#F1 | |
| Sentiment Analysis#TweetEval#ALL | |
| Single Image Deraining#Rain100H#SSIM | |
| Medical Image Segmentation#CVC-ClinicDB#mean Dice | |
| Video Generation#UCF-101 16 frames, 64x64, Unconditional#Inception Score | |
| question_answering#Quasar#EM (Quasar-T) | |
| Person Re-Identification#Market-1501#Rank-10 | |
| Question Answering#CNN / Daily Mail#Daily Mail | |
| Video Object Detection#ImageNet VID#MAP | |
| Weakly Supervised Action Localization#THUMOS 2014#mAP@0.5 | |
| Humor Detection#200k Short Texts for Humor Detection#F1-score | |
| Node Classification#Flickr#Accuracy | |
| Multi-Object Tracking#MOT17#MOTA | |
| Sentiment Analysis#Amazon Review Full#Accuracy | |
| Language Modelling#Hutter Prize#Bit per Character (BPC) | |
| Semantic Segmentation#ScanNet#3DIoU | |
| Semantic Segmentation#ADE20K#Test Score | |
| Crowd Counting#UCF-QNRF#MAE | |
| word_sense_disambiguation#SemEval 2007#F1 | |
| Question Answering#WikiQA#MAP | |
| Image-to-Image Translation#COCO-Stuff Labels-to-Photos#mIoU | |
| Keypoint Detection#COCO test-dev#AP50 | |
| Semantic Segmentation#Nighttime Driving#mIoU | |
| Semantic Textual Similarity#SICK#Spearman Correlation | |
| Text-to-Image Generation#CUB#Inception score | |
| Visual Dialog#Visual Dialog v1.0 test-std#R@10 | |
| Mortality Prediction#MIMIC-III#Precision | |
| Keypoint Detection#COCO test-dev#AP75 | |
| Dependency Parsing#Penn Treebank#UAS | |
| Graph Classification#NCI109#Accuracy | |
| Text Summarization#X-Sum#ROUGE-3 | |
| Text Summarization#X-Sum#ROUGE-2 | |
| Text Summarization#X-Sum#ROUGE-1 | |
| Unsupervised Domain Adaptation#Duke to MSMT#rank-1 | |
| Person Search#CUHK-SYSU#MAP | |
| Unsupervised Domain Adaptation#Duke to MSMT#rank-5 | |
| Semantic Role Labeling#OntoNotes#F1 | |
| Semantic Similarity#SICK#Pearson Correlation | |
| Video Retrieval#LSMDC#text-to-video R@10 | |
| Image Classification#VTAB-1k#Top-1 Accuracy | |
| Anomaly Detection#Unlabeled CIFAR-10 vs CIFAR-100#AUROC | |
| Line Segment Detection#wireframe dataset#sAP5 | |
| Domain Adaptation#SVNH-to-MNIST#Accuracy | |
| 3D Point Cloud Classification#ScanObjectNN#Overall Accuracy | |
| Vehicle Pose Estimation#KITTI Cars Hard#Average Orientation Similarity | |
| Weakly Supervised Object Detection#PASCAL VOC 2012 test#MAP | |
| Aspect-Based Sentiment Analysis#SemEval 2014 Task 4 Sub Task 2#Laptop (Acc) | |
| Few-Shot Image Classification#OMNIGLOT - 1-Shot, 5-way#Accuracy | |
| Language Modelling#WikiText-2#Test perplexity | |
| Graph Classification#IMDb-B#Accuracy | |
| sentiment_analysis#SST-2#Accuracy | |
| Multi-tissue Nucleus Segmentation#Kumar#Hausdorff Distance (mm) | |
| Hate Speech Detection#Ethos Binary#Precision | |
| Time Series Classification#AUSLAN#Accuracy | |
| Click-Through Rate Prediction#Dianping#AUC | |
| Face Verification#Trillion Pairs Dataset#Accuracy | |
| Sentiment Analysis#TweetEval#Irony | |
| dependency_parsing#Penn Treebank#LAS | |
| Sentiment Analysis#MR#Accuracy | |
| Video Generation#UCF-101 16 frames, Unconditional, Single GPU#Inception Score | |
| Unsupervised Machine Translation#WMT2016 English-German#BLEU | |
| Node Classification#Wisconsin#Accuracy | |
| Cross-Modal Retrieval#COCO 2014#Text-to-image R@5 | |
| Cross-Modal Retrieval#COCO 2014#Text-to-image R@1 | |
| Video Instance Segmentation#YouTube-VIS validation#AR1 | |
| Question Answering#NewsQA#F1 | |
| Visual Object Tracking#VOT2017#Expected Average Overlap (EAO) | |
| Node Classification#Wikipedia#Accuracy | |
| Action Classification#Kinetics-700#Top-1 Accuracy | |
| Atari Games#Atari 2600 Kung-Fu Master#Score | |
| Image Classification#CIFAR-100#Percentage correct | |
| Machine Translation#WMT2014 German-English#BLEU score | |
| Object Counting#Pascal VOC 2007 count-test#m-reIRMSE-nz | |
| Trajectory Prediction#Stanford Drone#FDE-8/12 @K= 20 | |
| Zero-Shot Learning#CUB-200-2011#average top-1 classification accuracy | |
| Word Sense Disambiguation#Supervised:#SemEval 2015 | |
| Named Entity Recognition#BC5CDR#F1 | |
| Word Sense Disambiguation#Supervised:#SemEval 2013 | |
| Word Sense Disambiguation#Supervised:#SemEval 2007 | |
| Language Modelling#WikiText-2#Number of params | |
| Line Segment Detection#wireframe dataset#sAP15 | |
| Line Segment Detection#wireframe dataset#sAP10 | |
| Node Classification#Pubmed#Accuracy | |
| Neural Architecture Search#CIFAR-10 Image Classification#FLOPS | |
| Visual Object Tracking#GOT-10k#Success Rate 0.5 | |
| Retinal OCT Disease Classification#OCT2017#Acc | |
| Lesion Segmentation#Anatomical Tracings of Lesions After Stroke (ATLAS)#Dice | |
| Lane Detection#TuSimple#Accuracy | |
| summarization#CNN / Daily Mail (Non-anonymized version)#METEOR | |
| Image Clustering#CIFAR-10#Backbone | |
| Neural Architecture Search#NAS-Bench-201, CIFAR-10#Accuracy (Test) | |
| 6D Pose Estimation using RGBD#LineMOD#Mean ADD | |
| text_classification#DBpedia#Error | |
| Person Re-Identification#MARS#mAP | |
| Visual Question Answering#COCO Visual Question Answering (VQA) real images 1.0 multiple choice#Percentage correct | |
| Time Series Classification#KickvsPunch#Accuracy | |
| Hyperspectral Image Classification#Pavia University#Overall Accuracy | |
| Text Simplification#TurkCorpus#SARI (EASSE>=0.2.1) | |
| Graph Clustering#Cora#Accuracy | |
| Vision and Language Navigation#VLN Challenge#spl | |
| Crowd Counting#UCF CC 50#MAE | |
| Keypoint Detection#COCO test-challenge#AP50 | |
| Video Retrieval#LSMDC#text-to-video Median Rank | |
| Sentiment Analysis#TweetEval#Stance | |
| chunking#Penn Treebank#F1 | |
| Keypoint Detection#COCO test-challenge#AP75 | |
| Relation Extraction#ACE 2004#NER Micro F1 | |
| Semi-Supervised Image Classification#ImageNet - 10% labeled data#Top 1 Accuracy | |
| Atari Games#Atari 2600 HERO#Score | |
| Multi-tissue Nucleus Segmentation#Kumar#Dice | |
| Link Prediction#WN18#Hits@10 | |
| Semantic Segmentation#S3DIS#mAcc | |
| Image Super-Resolution#BSD100 - 4x upscaling#SSIM | |
| Image Classification#mini WebVision 1.0#ImageNet Top-1 Accuracy | |
| Anomaly Detection#One-class ImageNet-30#AUROC | |
| Few-Shot Image Classification#Tiered ImageNet 5-way (1-shot)#Accuracy | |
| Neural Architecture Search#ImageNet#Params | |
| Multimodal Activity Recognition#Moments in Time Dataset#Top-5 (%) | |
| question_answering#SearchQA#EM | |
| question_answering#SearchQA#F1 | |
| Image-to-Image Translation#Cityscapes Labels-to-Photo#Per-pixel Accuracy | |
| Real-Time Semantic Segmentation#CamVid#Frame (fps) | |
| Image Generation#CIFAR-10#Inception score | |
| Click-Through Rate Prediction#MovieLens 20M#AUC | |
| summarization#CNN / Daily Mail (Non-anonymized version)#ROUGE-L | |
| Action Recognition#NTU RGB+D#Accuracy (CV) | |
| Cross-Modal Retrieval#Flickr30k#Image-to-text R@5 | |
| Cross-Modal Retrieval#Flickr30k#Image-to-text R@1 | |
| Semantic Segmentation#ADE20K val#mIoU | |
| Multi-Label Classification#PASCAL VOC 2007#mAP | |
| Ad-Hoc Information Retrieval#TREC Robust04#nDCG@20 | |
| Scene Text Detection#Total-Text#Recall | |
| Unsupervised Person Re-Identification#DukeMTMC-reID#Rank-1 | |
| Birds Eye View Object Detection#KITTI Cars Easy#AP | |
| Emotion Recognition in Conversation#MELD#Weighted Macro-F1 | |
| Graph Classification#UPFD-GOS#Accuracy (%) | |
| Named Entity Recognition#CoNLL 2003 (German)#F1 | |
| Person Re-Identification#MSMT17#mAP | |
| Image Matting#Composition-1K#Grad | |
| Birds Eye View Object Detection#KITTI Pedestrians Moderate#AP | |
| Atari Games#Atari 2600 Space Invaders#Score | |
| Real-Time Object Detection#PASCAL VOC 2007#MAP | |
| Graph Regression#ZINC#MAE | |
| Sentiment Analysis#Multi-Domain Sentiment Dataset#Electronics | |
| Action Recognition#NTU RGB+D#Accuracy (CS) | |
| Semantic Textual Similarity#SentEval#STS | |
| Neural Architecture Search#NAS-Bench-201, CIFAR-100#Search time (s) | |
| Node Classification#MAG240M-LSC#Test Accuracy | |
| summarization#CNN / Daily Mail (Non-anonymized version)#ROUGE-1 | |
| summarization#CNN / Daily Mail (Non-anonymized version)#ROUGE-2 | |
| Retinal OCT Disease Classification#Srinivasan2014#Acc | |
| Skeleton Based Action Recognition#SYSU 3D#Accuracy | |
| Video Frame Interpolation#Middlebury#Interpolation Error | |
| Word Sense Disambiguation#WiC-TSV#Task 3 Accuracy: all | |
| Grammatical Error Correction#JFLEG#GLEU | |
| Grayscale Image Denoising#BSD68 sigma50#PSNR | |
| Facial Expression Recognition#AffectNet#Accuracy (8 emotion) | |
| Text Summarization#CNN / Daily Mail (Anonymized)#ROUGE-L | |
| Link Prediction#WN18RR#MRR | |
| Text Summarization#CNN / Daily Mail (Anonymized)#ROUGE-2 | |
| Linguistic Acceptability#CoLA#Accuracy | |
| Sentiment Analysis#Multi-Domain Sentiment Dataset#Average | |
| Graph Classification#HIV-fMRI-77#Accuracy | |
| Text Summarization#CNN / Daily Mail (Anonymized)#ROUGE-1 | |
| Monocular Depth Estimation#NYU-Depth V2#RMSE | |
| Colorectal Gland Segmentation:#CRAG#F1-score | |
| Video Retrieval#MSVD#text-to-video R@10 | |
| Fact-based Text Editing#WebEdit#Precision | |
| Speech Recognition#MediaSpeech#WER for Spanish | |
| Metric Learning#CARS196#R@1 | |
| Action Classification#Moments in Time#Top 1 Accuracy | |
| Node Classification#Cora (0.5%)#Accuracy | |
| Question Answering#SQuAD1.1 dev#F1 | |
| Question Answering#SQuAD1.1 dev#EM | |
| Video Instance Segmentation#YouTube-VIS validation#AR10 | |
| Few-Shot Image Classification#Tiered ImageNet 10-way (5-shot)#Accuracy | |
| Few-Shot Image Classification#Mini-ImageNet-CUB 5-way (1-shot)#Accuracy | |
| Weakly Supervised Object Detection#PASCAL VOC 2007#MAP | |
| Semi-Supervised Video Object Segmentation#DAVIS 2017 (test-dev)#Jaccard (Recall) | |
| Image Retrieval#Par106k#mAP | |
| Fake News Detection#FNC-1#Per-class Accuracy (Agree) | |
| Fundus to Angiography Generation#Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients#FID | |
| Atari Games#Atari 2600 Centipede#Score | |
| Image Generation#STL-10#FID | |
| Image Clustering#CIFAR-100#Train Set | |
| Weakly Supervised Object Detection#Charades#MAP | |
| part-of-speech_tagging#Penn Treebank#Accuracy | |
| word_sense_disambiguation#SemEval 2013#F1 | |
| Unsupervised Domain Adaptation#Duke to Market#mAP | |
| Video Super-Resolution#Vid4 - 4x upscaling#SSIM | |
| Speech Enhancement#Deep Noise Suppression (DNS) Challenge#PESQ-NB | |
| JPEG Artifact Correction#ICB (Quality 10 Color)#SSIM | |
| Few-Shot Image Classification#Mini-Imagenet 10-way (5-shot)#Accuracy | |
| Multi-Person Pose Estimation#COCO test-dev#AP75 | |
| Image Denoising#SIDD#PSNR (sRGB) | |
| RGB-D Salient Object Detection#NLPR#max F-Measure | |
| Action Recognition#EPIC-KITCHENS-100#Noun@1 | |
| Node Classification#BlogCatalog#Accuracy | |
| Speech Enhancement#DEMAND#COVL | |
| Named Entity Recognition#CoNLL 2002 (Spanish)#F1 | |
| Multi-Person Pose Estimation#COCO test-dev#AP50 | |
| Time Series Classification#ArabicDigits#NLL | |
| Referring Expression Segmentation#RefCOCO testA#IoU | |
| Joint Entity and Relation Extraction#SciERC#Relation F1 | |
| Action Segmentation#Breakfast#F1@50% | |
| Face Identification#Trillion Pairs Dataset#Accuracy | |
| Neural Architecture Search#ImageNet#MACs | |
| Sentiment Analysis#SST-2 Binary classification#Accuracy | |
| Monocular 3D Human Pose Estimation#Human3.6M#Use Video Sequence | |
| Relation Extraction#ChemProt#F1 | |
| Atari Games#Atari 2600 Double Dunk#Score | |
| Node Classification#Citeseer#Validation | |
| Semi-Supervised Image Classification#SVHN, 250 Labels#Accuracy | |
| RGB-D Salient Object Detection#SIP#S-Measure | |
| Data-to-Text Generation#MULTIWOZ 2.1#BLEU | |
| Image Super-Resolution#Set14 - 2x upscaling#PSNR | |
| Self-Supervised Action Recognition#HMDB51#Pre-Training Dataset | |
| Video Retrieval#MSR-VTT-1kA#text-to-video R@5 | |
| Video Retrieval#MSR-VTT-1kA#text-to-video R@1 | |
| Instance Segmentation#COCO minival#AP50 | |
| Object Detection#COCO test-dev#APS | |
| RGB-D Salient Object Detection#STERE#Average MAE | |
| Scene Text Recognition#ICDAR 2003#Accuracy | |
| Click-Through Rate Prediction#Criteo#AUC | |
| Node Classification#Citeseer#Accuracy | |
| JPEG Artifact Correction#Live1 (Quality 10 Grayscale)#PSNR-B | |
| Speech Enhancement#Deep Noise Suppression (DNS) Challenge#PESQ-WB | |
| Recommendation Systems#MovieLens 20M#Recall@20 | |
| Instance Segmentation#COCO minival#AP75 | |
| Sentiment Analysis#SemEval 2014 Task 4 Subtask 1+2#F1 | |
| Image Classification#mini WebVision 1.0#Top-5 Accuracy | |
| Abstractive Text Summarization#CNN / Daily Mail#ROUGE-L | |
| Neural Architecture Search#NAS-Bench-201, CIFAR-10#Accuracy (val) | |
| Abstractive Text Summarization#CNN / Daily Mail#ROUGE-1 | |
| Abstractive Text Summarization#CNN / Daily Mail#ROUGE-2 | |
| Audio Classification#ESC-50#Top-1 Accuracy | |
| Object Detection#COCO test-dev#APM | |
| Object Detection#COCO test-dev#APL | |
| Retinal Vessel Segmentation#DRIVE#F1 score | |
| Music Modeling#Nottingham#NLL | |
| Fine-Grained Image Classification#Food-101#Accuracy | |
| Common Sense Reasoning#Winograd Schema Challenge#Score | |
| language_modeling#Hutter Prize#Number of params | |
| Quantization#ImageNet#Accuracy (%) | |
| Language Modelling#Penn Treebank (Character Level)#Number of params | |
| Music Source Separation#MUSDB18#SDR (drums) | |
| Machine Translation#WMT2016 English-German#BLEU score | |
| Link Prediction#OpenBioLink#Hits@10 | |
| Image Generation#ImageNet 64x64#Bits per dim | |
| Few-Shot Image Classification#Mini-ImageNet-CUB 5-way (5-shot)#Accuracy | |
| Fine-Grained Image Classification#Oxford-IIIT Pets#PARAMS | |
| Grammatical Error Detection#CoNLL-2014 A1#F0.5 | |
| Object Counting#COCO count-test#m-reIRMSE-nz | |
| Image Clustering#MNIST-full#Accuracy | |
| Visual Object Tracking#OTB-2013#AUC | |
| Bias Detection#StereoSet#ICAT Score | |
| Line Segment Detection#wireframe dataset#F1 score | |
| Image-to-Image Translation#ADE20K-Outdoor Labels-to-Photos#FID | |
| Single Image Deraining#Test100#PSNR | |
| Visual Dialog#Visual Dialog v1.0 test-std#NDCG (x 100) | |
| JPEG Artifact Correction#LIVE1 (Quality 20 Color)#PSNR | |
| Birds Eye View Object Detection#KITTI Cars Moderate#AP | |
| Language Modelling#WikiText-2#Validation perplexity | |
| Machine Translation#IWSLT2014 German-English#BLEU score | |
| Graph Classification#REDDIT-B#Accuracy | |
| Recommendation Systems#Netflix#nDCG@100 | |
| Image Classification#ImageNet#Top 1 Accuracy | |
| Natural Language Inference#SciTail#Accuracy | |
| Weakly Supervised Action Localization#THUMOS 2014#mAP@0.1:0.7 | |
| Weakly Supervised Action Localization#THUMOS 2014#mAP@0.1:0.5 | |
| Scene Text Recognition#ICDAR2015#Accuracy | |
| Image Super-Resolution#Set5 - 3x upscaling#SSIM | |
| Crowd Counting#ShanghaiTech A#MAE | |
| Semi-Supervised Video Object Segmentation#YouTube-VOS#Overall | |
| Recommendation Systems#Douban Monti#RMSE | |
| Open-Domain Question Answering#Quasar#F1 (Quasar-T) | |
| Instance Segmentation#COCO minival#APL | |
| Instance Segmentation#COCO minival#APM | |
| Instance Segmentation#COCO minival#APS | |
| Semi-Supervised Video Object Segmentation#YouTube-VOS#Jaccard (Seen) | |
| Object Detection#KITTI Cars Hard#AP | |
| Task-Oriented Dialogue Systems#KVRET#Entity F1 | |
| 3D Object Detection#KITTI Pedestrians Moderate#AP | |
| Multi-Person Pose Estimation#CrowdPose#mAP @0.5:0.95 | |
| Motion Segmentation#Apolloscape#Accuracy | |
| Semantic Segmentation#ADE20K#Validation mIoU | |
| Action Recognition#EPIC-KITCHENS-100#Verb@1 | |
| Action Recognition#THUMOS’14#mAP@0.3 | |
| Action Recognition#THUMOS’14#mAP@0.4 | |
| Action Recognition#THUMOS’14#mAP@0.5 | |
| named_entity_recognition#Ontonotes v5 (English)#F1 | |
| Action Recognition#THUMOS’14#mAP@0.1 | |
| Action Recognition#THUMOS’14#mAP@0.2 | |
| Action Segmentation#GTEA#F1@10% | |
| language_modeling#WikiText-103#Test perplexity | |
| Image-to-Image Translation#GTAV-to-Cityscapes Labels#mIoU | |
| Continual Learning#visual domain decathlon (10 tasks)#decathlon discipline (Score) | |
| Aspect Sentiment Triplet Extraction#SemEval#F1 | |
| Image Super-Resolution#FFHQ 1024 x 1024 - 4x upscaling#SSIM | |
| Video Generation#BAIR Robot Pushing#FVD score | |
| Relation Extraction#ACE 2004#RE+ Micro F1 | |
| Multi-Person Pose Estimation#COCO test-dev#AP | |
| Monocular Depth Estimation#KITTI Eigen split#absolute relative error | |
| Atari Games#Atari 2600 Tutankham#Score | |
| RGB-D Salient Object Detection#LFSD#Average MAE | |
| Unsupervised Domain Adaptation#Duke to Market#rank-10 | |
| Dense Video Captioning#ActivityNet Captions#METEOR | |
| Image Super-Resolution#Set14 - 4x upscaling#PSNR | |
| Domain Adaptation#Office-31#Average Accuracy | |
| 3D Object Detection#KITTI Cyclists Moderate#AP | |
| Reading Comprehension#RACE#Accuracy | |
| Panoptic Segmentation#Cityscapes val#PQst | |
| Scene Text Detection#SCUT-CTW1500#Precision | |
| Speech Separation#wsj0-2mix#SI-SDRi | |
| question_answering#SearchQA#Unigram Acc | |
| Panoptic Segmentation#Cityscapes val#PQth | |
| Self-Supervised Image Classification#ImageNet (finetuned)#Top 1 Accuracy | |
| Unsupervised Domain Adaptation#Market to Duke#rank-10 | |
| Continuous Control#PyBullet HalfCheetah#Return | |
| language_modeling#Penn Treebank#Bit per Character (BPC) | |
| amr_parsing#LDC2014T12#F1 on Newswire | |
| Time Series Classification#JapaneseVowels#Accuracy | |
| Weakly-supervised 3D Human Pose Estimation#Human3.6M#Average MPJPE (mm) | |
| Face Verification#IJB-C#TAR @ FAR=0.01 | |
| 3D Human Pose Estimation#3DPW#MPJPE | |
| Neural Architecture Search#ImageNet#Top-1 Error Rate | |
| Fine-Grained Image Classification#Birdsnap#Accuracy | |
| Fact-based Text Editing#WebEdit#ADD | |
| Image Super-Resolution#FFHQ 512 x 512 - 4x upscaling#SSIM | |
| Protein Secondary Structure Prediction#CB513#Q8 | |
| 3D Object Detection#KITTI Cars Moderate val#AP | |
| Action Recognition#UCF101#3-fold Accuracy | |
| Dense Object Detection#SKU-110K#AP | |
| Image Retrieval#Oxf105k#MAP | |
| Skeleton Based Action Recognition#Varying-view RGB-D Action-Skeleton#Accuracy (AV I) | |
| Sequential Image Classification#Sequential MNIST#Unpermuted Accuracy | |
| Node Classification#Coauthor CS#Accuracy | |
| Graph Classification#CIFAR10 100k#Accuracy (%) | |
| RGB-D Salient Object Detection#DES#Average MAE | |
| question_answering#SQuAD#F1 | |
| question_answering#SQuAD#EM | |
| Image-to-Image Translation#Cityscapes Photo-to-Labels#Per-class Accuracy | |
| Video Object Detection#ImageNet VID#runtime (ms) | |
| Video Retrieval#MSR-VTT-1kA#text-to-video R@10 | |
| Real-Time Object Detection#COCO#MAP | |
| Neural Architecture Search#NAS-Bench-201, ImageNet-16-120#Search time (s) | |
| Temporal Action Proposal Generation#ActivityNet-1.3#AUC (val) | |
| Aspect-Based Sentiment Analysis#SemEval 2014 Task 4 Sub Task 2#Restaurant (Acc) | |
| Time Series Classification#ArabicDigits#Accuracy | |
| Conditional Image Generation#ImageNet 128x128#Inception score | |
| Face Alignment#WFLW#AUC@0.1 (all) | |
| Image Classification#SVHN#Percentage error | |
| Semantic Textual Similarity#STS14#Spearman Correlation | |
| Multi-Person Pose Estimation#COCO test-dev#APL | |
| Multi-Person Pose Estimation#COCO test-dev#APM | |
| Neural Architecture Search#NAS-Bench-201, CIFAR-100#Accuracy (Test) | |
| 3D Instance Segmentation#S3DIS#mRec | |
| Image Retrieval#In-Shop#R@1 | |
| Photo geolocation estimation#Im2GPS#Continent level (2500 km) | |
| Graph Classification#MUTAG#Accuracy | |
| Recommendation Systems#MovieLens 100K#RMSE (u1 Splits) | |
| Word Sense Disambiguation#WiC-TSV#Task 1 Accuracy: general purpose | |
| Real-Time Object Detection#COCO#inference time (ms) | |
| 3D Object Detection#KITTI Pedestrians Easy#AP | |
| Real-time Instance Segmentation#MSCOCO#mask AP | |
| Image Classification#MNIST#Accuracy | |
| Image Clustering#CIFAR-10#Train set | |
| Real-Time Object Detection#PASCAL VOC 2007#FPS | |
| Pedestrian Detection#CityPersons#Bare MR^-2 | |
| Unsupervised Domain Adaptation#Duke to Market#rank-5 | |
| Semantic Segmentation#Cityscapes val#mIoU | |
| Unsupervised Domain Adaptation#Duke to Market#rank-1 | |
| RGB Salient Object Detection#HKU-IS#MAE | |
| Image Super-Resolution#Set5 - 4x upscaling#PSNR | |
| Image Super-Resolution#FFHQ 256 x 256 - 4x upscaling#FID | |
| Unsupervised Video Object Segmentation#DAVIS 2016#J&F | |
| Crowd Counting#WorldExpo’10#Average MAE | |
| Dense Object Detection#SKU-110K#AP75 | |
| Face Alignment#AFLW2000-3D#Mean NME | |
| Generalized Zero-Shot Learning#SUN Attribute#Harmonic mean | |
| Real-Time Semantic Segmentation#CamVid#Time (ms) | |
| Emotion Recognition in Context#EMOTIC#mAP | |
| Few-Shot Image Classification#OMNIGLOT - 1-Shot, 20-way#Accuracy | |
| 3D Human Pose Estimation#Human3.6M#Using 2D ground-truth joints | |
| Spoken language identification#LRE07#30 sec | |
| Recommendation Systems#MovieLens 20M#Recall@50 | |
| Stochastic Optimization#CIFAR-10 WRN-28-10 - 200 Epochs#Accuracy | |
| Time Series Classification#PhysioNet Challenge 2012#AUC Stdev | |
| Node Classification#PubMed with Public Split: fixed 20 nodes per class#Accuracy | |
| summarization#DUC 2004 Task 1#ROUGE-L | |
| 6D Pose Estimation using RGB#LineMOD#Accuracy (ADD) | |
| Person Search#CUHK-SYSU#Top-1 | |
| dependency_parsing#benchmark Vietnamese dependency treebank VnDT#LAS | |
| 3D Human Pose Estimation#MPI-INF-3DHP#3DPCK | |
| summarization#DUC 2004 Task 1#ROUGE-2 | |
| summarization#DUC 2004 Task 1#ROUGE-1 | |
| Node Classification#PubMed (0.05%)#Accuracy | |
| Link Prediction#WN18RR#Hits@10 | |
| Visual Question Answering#VCR (QA-R) test#Accuracy | |
| Question Answering#Natural Questions (long)#F1 | |
| Person Re-Identification#CUHK03 detected#MAP | |
| Atari Games#Atari 2600 Surround#Score | |
| RGB-D Salient Object Detection#SIP#max F-Measure | |
| Atari Games#Atari 2600 Boxing#Score | |
| Visual Question Answering#DocVQA test#ANLS | |
| Unsupervised Video Object Segmentation#DAVIS 2016#F-measure (Mean) | |
| Traffic Prediction#METR-LA#MAE @ 12 step | |
| Action Segmentation#GTEA#F1@25% | |
| Person Re-Identification#PRID2011#Rank-20 | |
| Scene Text Detection#COCO-Text#F-Measure | |
| Atari Games#Atari 2600 Bank Heist#Score | |
| Node Classification#Cora (1%)#Accuracy | |
| Monocular 3D Human Pose Estimation#Human3.6M#Average MPJPE (mm) | |
| Neural Network Compression#CIFAR-10#Size (MB) | |
| Object Counting#COCO count-test#mRMSE-nz | |
| Question Answering#SQuAD2.0#EM | |
| Facial Expression Recognition#FER2013#Accuracy | |
| Image Classification#STL-10#Percentage correct | |
| Question Answering#SQuAD2.0#F1 | |
| Unsupervised Domain Adaptation#Market to MSMT#mAP | |
| machine_translation#The IWSLT 2015 Evaluation Campaign#BLEU | |
| Scene Text Detection#ICDAR 2015#F-Measure | |
| Text Classification#IMDb#Accuracy (2 classes) | |
| Facial Landmark Detection#300W#NME | |
| Unsupervised Domain Adaptation#Market to MSMT#rank-5 | |
| Language Modelling#Text8#Number of params | |
| Unsupervised Domain Adaptation#Market to MSMT#rank-1 | |
| Link Prediction#FB15k#Hits@1 | |
| Node Classification#Texas#Accuracy | |
| Atari Games#Atari 2600 River Raid#Score | |
| Cross-View Image-to-Image Translation#Dayton (64×64) - aerial-to-ground#SSIM | |
| Link Prediction#FB15k#Hits@3 | |
| Cross-Modal Retrieval#Flickr30k#Image-to-text R@10 | |
| Supervised Video Summarization#TvSum#F1-score (Canonical) | |
| Few-Shot Image Classification#OMNIGLOT - 5-Shot, 5-way#Accuracy | |
| Sequential Image Classification#Sequential CIFAR-10#Unpermuted Accuracy | |
| Semi-Supervised Video Object Segmentation#DAVIS 2016#Jaccard (Recall) | |
| Person Re-Identification#DukeMTMC-reID#Rank-1 | |
| Cross-Modal Retrieval#COCO 2014#Text-to-image R@10 | |
| Semantic Segmentation#Cityscapes test#Category mIoU | |
| Person Re-Identification#DukeMTMC-reID#Rank-5 | |
| Image Super-Resolution#BSD100 - 2x upscaling#SSIM | |
| Word Sense Disambiguation#Words in Context#Accuracy | |
| Action Recognition#NTU RGB+D 120#Accuracy (Cross-Setup) | |
| Node Classification#Pubmed#Training Split | |
| Weakly Supervised Action Localization#THUMOS14#avg-mAP (0.1-0.9) | |
| Layout-to-Image Generation#COCO-Stuff 64x64#Inception Score | |
| Atari Games#Atari 2600 Venture#Score | |
| Text Generation#MATH#Average Accuracy | |
| Grayscale Image Denoising#BSD68 sigma15#PSNR | |
| Visual Question Answering#VQA v2 test-std#other | |
| Question Answering#CoQA#Out-of-domain | |
| Semantic Textual Similarity#MRPC#Accuracy | |
| Human-Object Interaction Detection#HICO-DET#Time Per Frame (ms) | |
| Line Segment Detection#York Urban Dataset#sAP5 | |
| Recommendation Systems#MovieLens 20M#nDCG@100 | |
| Question Answering#RACE#RACE-h | |
| Question Answering#RACE#RACE-m | |
| Semantic Segmentation#Cityscapes test#Mean IoU (class) | |
| Weakly Supervised Action Localization#THUMOS14#avg-mAP (0.1-0.5) | |
| Superpixel Image Classification#75 Superpixel MNIST#Classification Error | |
| Commonsense Reasoning for RL#commonsense-rl#Avg #Steps | |
| Time Series Classification#PhysioNet Challenge 2012#AUC | |
| Pose Transfer#Deep-Fashion#SSIM | |
| Semi-Supervised Video Object Segmentation#DAVIS 2017 (val)#F-measure (Decay) | |
| Image-to-Image Translation#Cityscapes Photo-to-Labels#Per-pixel Accuracy | |
| text_classification#TREC#Error | |
| Medical Image Segmentation#Kvasir-SEG#Average MAE | |
| Speech Enhancement#CHiME-3#SDR | |
| Head Pose Estimation#AFLW2000#MAE | |
| Gesture-to-Gesture Translation#Senz3D#IS | |
| Visual Question Answering#GQA Test2019#Plausibility | |
| 3D Object Detection#KITTI Cars Easy#AP | |
| Image Clustering#MNIST-test#Accuracy | |
| Time Series Classification#UWave#Accuracy | |
| Visual Dialog#Visual Dialog v1.0 test-std#MRR (x 100) | |
| Image-to-Image Translation#Cityscapes Photo-to-Labels#Class IOU | |
| Task-Oriented Dialogue Systems#KVRET#BLEU | |
| word_sense_disambiguation#SemEval 2015#F1 | |
| Image Relighting#VIDIT’20 validation set#LPIPS | |
| Weakly-supervised 3D Human Pose Estimation#Human3.6M#Number of Views | |
| JPEG Artifact Correction#ICB (Quality 10 Grayscale)#PSNR-B | |
| Image Classification#ImageNet#Top 5 Accuracy | |
| Image Clustering#CIFAR-10#Accuracy | |
| Atari Games#Atari 2600 Up and Down#Score | |
| Depth Estimation#NYU-Depth V2#RMS | |
| Person Re-Identification#DukeMTMC-reID#MAP | |
| Image Super-Resolution#WebFace - 8x upscaling#PSNR | |
| Graph Classification#NCI1#Accuracy | |
| Deblurring#GoPro#SSIM | |
| Hate Speech Detection#HateXplain#Macro F1 | |
| Visual Question Answering#GQA Test2019#Validity | |
| machine_translation#WMT 2014 EN-DE#BLEU | |
| Image Super-Resolution#FFHQ 512 x 512 - 4x upscaling#LPIPS | |
| Visual Dialog#VisDial v0.9 val#MRR | |
| Keyword Spotting#Google Speech Commands#Google Speech Commands V2 12 | |
| Grammatical Error Detection#FCE#F0.5 | |
| Facial Expression Recognition#AffectNet#Accuracy (7 emotion) | |
| Emotion Recognition in Conversation#IEMOCAP#F1 | |
| Link Prediction#FB15k#Hits@10 | |
| JPEG Artifact Correction#ICB (Quality 10 Grayscale)#PSNR | |
| Semi-Supervised Image Classification#CIFAR-10, 1000 Labels#Accuracy | |
| Relation Extraction#NYT#F1 | |
| Semi-Supervised Semantic Segmentation#Pascal VOC 2012 12.5% labeled#Validation mIoU | |
| Scene Text Detection#COCO-Text#Precision | |
| Keyword Spotting#Google Speech Commands#Google Speech Commands V2 35 | |
| Weakly Supervised Action Localization#THUMOS’14#mAP@0.5 | |
| Object Detection#COCO test-dev#box AP | |
| Word Sense Disambiguation#WiC-TSV#Task 1 Accuracy: domain specific | |
| Image Super-Resolution#BSD100 - 4x upscaling#PSNR | |
| Atari Games#Atari 2600 Name This Game#Score | |
| Relation Extraction#ACE 2005#NER Micro F1 | |
| Data-to-Text Generation#LDC2017T10#BLEU | |
| Self-Supervised Action Recognition#UCF101#Pre-Training Dataset | |
| Pose Estimation#COCO test-dev#AR | |
| Pose Estimation#COCO test-dev#AP | |
| Graph Classification#NEURON-MULTI#Accuracy | |
| Relation Extraction#ACE 2005#Sentence Encoder | |
| Image Generation#ImageNet 32x32#bpd | |
| relation_prediction#FB15K-237#MRR | |
| Action Recognition#HMDB-51#Average accuracy of 3 splits | |
| Action Recognition#AVA v2.2#mAP | |
| ccg_supertagging#CCGBank#Accuracy | |
| Data-to-Text Generation#E2E NLG Challenge#BLEU | |
| Atari Games#Atari 2600 Star Gunner#Score | |
| Visual Question Answering#VCR (Q-A) test#Accuracy | |
| Scene Text Detection#SCUT-CTW1500#F-Measure | |
| Video Semantic Segmentation#Cityscapes val#mIoU | |
| Action Recognition#Something-Something V1#Top 1 Accuracy | |
| Link Prediction#FB15k-237#Hits@3 | |
| Link Prediction#FB15k-237#Hits@1 | |
| Text Classification#Yahoo! Answers#Accuracy | |
| Partial Domain Adaptation#Office-Home#Accuracy (%) | |
| 6D Pose Estimation using RGB#Occlusion LineMOD#Mean ADD | |
| Image Generation#CIFAR-10#bits/dimension | |
| Graph Regression#ZINC-500k#MAE | |
| Intent Detection#ATIS#F1 | |
| Human Part Segmentation#PASCAL-Part#mIoU | |
| relation_prediction#WN18RR#H@10 | |
| Image Retrieval with Multi-Modal Query#MIT-States#Recall@10 | |
| Intent Detection#SNIPS#Slot F1 Score | |
| taxonomy_learning#SemEval 2018#P@5 | |
| Video Instance Segmentation#YouTube-VIS validation#mask AP | |
| Face Detection#WIDER Face (Hard)#AP | |
| Image-to-Image Translation#ADE20K-Outdoor Labels-to-Photos#mIoU | |
| Scene Text Detection#ICDAR 2013#Recall | |
| Unsupervised Person Re-Identification#Market-1501#Rank-1 | |
| dependency_parsing#Penn Treebank#POS | |
| question_answering#CNN / Daily Mail#Accuracy on CNN | |
| Optical Flow Estimation#KITTI 2015#Fl-all | |
| Semantic Segmentation#PASCAL VOC 2012 val#mIoU | |
| Named Entity Recognition#CoNLL++#F1 | |
| Question Answering#bAbi#Accuracy (trained on 1k) | |
| Time Series Classification#Libras#NLL | |
| Dense Pixel Correspondence Estimation#HPatches#Viewpoint II AEPE | |
| Image Clustering#MNIST-full#NMI | |
| Machine Translation#WMT2015 English-German#BLEU score | |
| 3D Face Reconstruction#NoW Benchmark#Mean Reconstruction Error (mm) | |
| Semantic Segmentation#PASCAL VOC 2012 test#Mean IoU | |
| Relation Extraction#CoNLL04#RE+ Macro F1 | |
| Pose Estimation#UPenn Action#Mean PCK@0.2 | |
| Conversational Response Selection#DSTC7 Ubuntu#1-of-100 Accuracy | |
| Image Classification#WebVision-1000#Top-1 Accuracy | |
| Atari Games#Atari 2600 Yars Revenge#Score | |
| JPEG Artifact Correction#ICB (Quality 10 Color)#PSNR-B | |
| Temporal Action Localization#ActivityNet-1.3#mAP IOU@0.5 | |
| Unsupervised Video Object Segmentation#DAVIS 2016#Jaccard (Mean) | |
| Image Super-Resolution#Urban100 - 2x upscaling#SSIM | |
| Visual Question Answering#GQA Test2019#Open | |
| Single Image Deraining#Rain100L#SSIM | |
| Entity Linking#WiC-TSV#Task 3 Accuracy: general purpose | |
| Scene Text Detection#MSRA-TD500#F-Measure | |
| Mortality Prediction#MIMIC-III#F1 score | |
| Video Retrieval#MSR-VTT-1kA#text-to-video Mean Rank | |
| Node Classification#Actor#Accuracy | |
| language_modeling#Penn Treebank#Test perplexity | |
| Gesture-to-Gesture Translation#Senz3D#PSNR | |
| Image Generation#CLEVR#FID-5k-training-steps | |
| Self-Supervised Image Classification#ImageNet#Top 1 Accuracy (kNN, k=20) | |
| Fine-Grained Image Classification#CUB-200-2011#Accuracy | |
| Lung Nodule Classification#LIDC-IDRI#Accuracy | |
| Link Prediction#Pubmed#AP | |
| Pedestrian Detection#CityPersons#Reasonable MR^-2 | |
| Link Prediction#WN18#MRR | |
| Face Identification#MegaFace#Accuracy | |
| Domain Adaptation#VisDA2017#Accuracy | |
| Face Verification#MegaFace#Accuracy | |
| Question Answering#YahooCQA#MRR | |
| Scene Text Detection#COCO-Text#Recall | |
| Video Frame Interpolation#Vimeo90k#PSNR | |
| RGB Salient Object Detection#DUT-OMRON#MAE | |
| Image Retrieval with Multi-Modal Query#MIT-States#Recall@5 | |
| Image Retrieval with Multi-Modal Query#MIT-States#Recall@1 | |
| Gesture-to-Gesture Translation#NTU Hand Digit#PSNR | |
| Image Retrieval#SOP#R@1 | |
| Multi-Label Classification#MS-COCO#mAP | |
| Keyword Spotting#Google Speech Commands#Google Speech Commands V1 12 | |
| 3D Human Pose Estimation#MPI-INF-3DHP#AUC | |
| Lipreading#CAS-VSR-W1k (LRW-1000)#Top-1 Accuracy | |
| Weakly-Supervised Semantic Segmentation#PASCAL VOC 2012 val#Mean IoU | |
| Machine Translation#WMT2016 German-English#BLEU score | |
| Video Retrieval#MSR-VTT#video-to-text R@5 | |
| Visual Question Answering#MSRVTT-QA#Accuracy | |
| Domain Generalization#ImageNet-A#Top-1 accuracy % | |
| Action Recognition#Jester#Val | |
| Image Super-Resolution#Set5 - 8x upscaling#PSNR | |
| Semi-Supervised Image Classification#STL-10, 1000 Labels#Accuracy | |
| Image Super-Resolution#Manga109 - 8x upscaling#PSNR | |
| Visual Question Answering#VQA v2 test-std#overall | |
| RGB-D Salient Object Detection#DES#max F-Measure | |
| Image Clustering#Fashion-MNIST#Accuracy | |
| Semantic Segmentation#PASCAL Context#mIoU | |
| Semantic Similarity#SICK#MSE | |
| Retinal Vessel Segmentation#STARE#F1 score | |
| Image Super-Resolution#FFHQ 1024 x 1024 - 4x upscaling#FID | |
| Machine Translation#WMT2014 English-German#BLEU score | |
| 3D Object Detection#KITTI Cars Hard val#AP | |
| Image Super-Resolution#Urban100 - 4x upscaling#PSNR | |
| 3D Human Pose Estimation#Human3.6M#Multi-View or Monocular | |
| Relation Extraction#CoNLL04#NER Macro F1 | |
| Image Super-Resolution#BSD100 - 4x upscaling#MOS | |
| Semi-Supervised Image Classification#ImageNet - 1% labeled data#Top 5 Accuracy | |
| Weakly-Supervised Semantic Segmentation#PASCAL VOC 2012 test#Mean IoU | |
| Node Classification#PATTERN 100k#Accuracy (%) | |
| Node Classification#MAG240M-LSC#Validation Accuracy | |
| Image Generation#FFHQ#FID-10k-training-steps | |
| relation_prediction#WN18RR#MRR | |
| Fine-Grained Image Classification#DF20#Top-1 | |
| Fine-Grained Image Classification#DF20#Top-3 | |
| Word Sense Disambiguation#WiC-TSV#Task 1 Accuracy: all | |
| 3D Multi-Person Pose Estimation (root-relative)#MuPoTS-3D#3DPCK | |
| Medical Image Segmentation#Kvasir-SEG#mean Dice | |
| Video Retrieval#MSR-VTT#text-to-video R@1 | |
| RGB-D Salient Object Detection#LFSD#S-Measure | |
| Semantic Textual Similarity#STS16#Spearman Correlation | |
| RGB-D Salient Object Detection#STERE#max F-Measure | |
| Semi-Supervised Video Object Segmentation#DAVIS 2016#F-measure (Recall) | |
| Sentiment Analysis#TweetEval#Emotion | |
| Neural Architecture Search#CIFAR-10#FLOPS | |
| Atari Games#Atari 2600 Kangaroo#Score | |
| Lane Detection#TuSimple#F1 score | |
| Session-Based Recommendations#Diginetica#Hit@20 | |
| Atari Games#Atari 2600 Seaquest#Score | |
| Neural Architecture Search#NAS-Bench-201, CIFAR-10#Search time (s) | |
| Graph Classification#PROTEINS#Accuracy | |
| Common Sense Reasoning#SWAG#Test | |
| Multi-Object Tracking#MOT16#MOTA | |
| Semi-Supervised Video Object Segmentation#DAVIS 2016#Jaccard (Decay) | |
| Visual Question Answering#VQA v2 test-std#number | |
| Object Detection#COCO minival#APL | |
| Object Detection#COCO minival#APM | |
| Object Detection#COCO minival#APS | |
| Atari Games#Atari 2600 Krull#Score | |
| JPEG Artifact Correction#LIVE1 (Quality 10 Color)#PSNR | |
| Cross-Lingual Document Classification#MLDoc Zero-Shot English-to-German#Accuracy | |
| RGB-D Salient Object Detection#DES#max E-Measure | |
| Node Classification#PubMed (0.1%)#Accuracy | |
| Link Prediction#WN18#MR | |
| Semi-Supervised Image Classification#CIFAR-10, 40 Labels#Percentage error | |
| Scene Text Detection#ICDAR 2013#F-Measure | |
| Image Super-Resolution#Set5 - 2x upscaling#SSIM | |
| Transfer Learning#Office-Home#Accuracy | |
| JPEG Artifact Correction#ICB (Quality 20 Color)#PSNR-B | |
| Image Classification#smallNORB#Classification Error | |
| Image Super-Resolution#Manga109 - 2x upscaling#SSIM | |
| Object Detection#USB (Standard USB 1.0 protocol)#mCAP | |
| Deblurring#RealBlur-J (trained on GoPro)#PSNR (sRGB) | |
| JPEG Artifact Correction#ICB (Quality 20 Grayscale)#PSNR-B | |
| Aspect-Based Sentiment Analysis#SemEval 2014 Task 4 Sub Task 2#Mean Acc (Restaurant + Laptop) | |
| Node Classification#Chameleon#Accuracy | |
| Question Answering#CoQA#Overall | |
| Visual Object Tracking#VOT2017/18#Expected Average Overlap (EAO) | |
| Hate Speech Detection#HateXplain#AUROC | |
| Node Classification#CiteSeer (0.5%)#Accuracy | |
| Age-Invariant Face Recognition#CACDVS#Accuracy | |
| Layout-to-Image Generation#COCO-Stuff 64x64#FID | |
| Image Clustering#STL-10#NMI | |
| JPEG Artifact Correction#ICB (Quality 20 Grayscale)#SSIM | |
| Graph Classification#D&D#Accuracy | |
| Text Summarization#GigaWord#ROUGE-L | |
| RGB Salient Object Detection#DUTS-TE#MAE | |
| Natural Language Inference#SNLI#% Test Accuracy | |
| Text Summarization#GigaWord#ROUGE-1 | |
| Text Summarization#GigaWord#ROUGE-2 | |
| Unsupervised Domain Adaptation#Market to MSMT#rank-10 | |
| Surgical tool detection#Cholec80#mAP | |
| RGB-D Salient Object Detection#NLPR#S-Measure | |
| Semantic Textual Similarity#STS15#Spearman Correlation | |
| Named Entity Recognition#Ontonotes v5 (English)#F1 | |
| Unsupervised Domain Adaptation#Market to Duke#rank-1 | |
| Heterogeneous Node Classification#DBLP (PACT) 14k#Micro-F1 (20% training data) | |
| Unsupervised Domain Adaptation#Market to Duke#rank-5 | |
| Atari Games#Atari 2600 Berzerk#Score | |
| Image Super-Resolution#FFHQ 512 x 512 - 4x upscaling#LLE | |
| Image Classification#ImageNet#Number of params | |
| Face Detection#WIDER Face (Easy)#AP | |
| Action Classification#Kinetics-600#Top-1 Accuracy | |
| Image Super-Resolution#FFHQ 256 x 256 - 4x upscaling#SSIM | |
| question_answering#Quasar#F1 (Quasar-T) | |
| Visual Object Tracking#OTB-2015#AUC | |
| Text Simplification#Newsela#SARI | |
| Action Classification#Kinetics-700#Top-5 Accuracy | |
| Language Modelling#Text8#Bit per Character (BPC) | |
| Image Super-Resolution#Urban100 - 8x upscaling#PSNR | |
| Out-of-Distribution Detection#STL-10#Percentage correct | |
| Dense Pixel Correspondence Estimation#HPatches#Viewpoint I AEPE | |
| Object Detection#COCO minival#AP50 | |
| Semi-Supervised Semantic Segmentation#Pascal VOC 2012 5% labeled#Validation mIoU | |
| Node Classification#Cora#Accuracy | |
| Aesthetics Quality Assessment#AVA#Accuracy | |
| Named Entity Recognition#ACE 2005#F1 | |
| Instance Segmentation#COCO test-dev#APS | |
| taxonomy_learning#SemEval 2018#MRR | |
| Fake News Detection#FNC-1#Per-class Accuracy (Disagree) | |
| Instance Segmentation#COCO test-dev#APM | |
| Instance Segmentation#COCO test-dev#APL | |
| Entity Alignment#DBP15k zh-en#Hits@1 | |
| Object Detection#COCO minival#AP75 | |
| language_modeling#1B Words / Google Billion Word benchmark#Number of params | |
| Action Segmentation#GTEA#F1@50% | |
| Action Classification#Moments in Time#Top 5 Accuracy | |
| Question Answering#Children's Book Test#Accuracy-NE | |
| Cross-Modal Retrieval#COCO 2014#Image-to-text R@1 | |
| Action Recognition#Sports-1M#Video hit@1 | |
| Action Recognition#Sports-1M#Video hit@5 | |
| Time Series Classification#PEMS#Accuracy | |
| Real-Time Semantic Segmentation#NYU Depth v2#Speed(ms/f) | |
| Cross-Modal Retrieval#COCO 2014#Image-to-text R@5 | |
| Word Sense Disambiguation#Supervised:#Senseval 3 | |
| Word Sense Disambiguation#Supervised:#Senseval 2 | |
| Image-to-Image Translation#Cityscapes Labels-to-Photo#Per-class Accuracy | |
| Image Super-Resolution#Manga109 - 4x upscaling#PSNR | |
| Retinal Vessel Segmentation#CHASE_DB1#AUC | |
| Atari Games#Atari 2600 Frostbite#Score | |
| Vision and Language Navigation#VLN Challenge#oracle success | |
| Relation Extraction#WebNLG#F1 | |
| Drug Discovery#Tox21#AUC | |
| Image Generation#FFHQ 256 x 256#FID | |
| Question Answering#TriviaQA#F1 | |
| Semi-Supervised Semantic Segmentation#Pascal VOC 2012 2% labeled#Validation mIoU | |
| Semantic Textual Similarity#STS12#Spearman Correlation | |
| Fine-Grained Image Classification#DF20#F1 - macro | |
| Few-Shot Image Classification#FC100 5-way (1-shot)#Accuracy | |
| Speech Recognition#swb_hub_500 WER fullSWBCH#Percentage error | |
| Speech Recognition#MediaSpeech#WER for French | |
| Image Classification#EMNIST-Letters#Accuracy | |
| Time Series Classification#NetFlow#Accuracy | |
| Text Style Transfer#Yelp Review Dataset (Small)#G-Score (BLEU, Accuracy) | |
| Self-Supervised Action Recognition#HMDB51#Top-1 Accuracy | |
| Semantic Textual Similarity#STS13#Spearman Correlation | |
| Link Prediction#Cora#AP | |
| Relation Extraction#SemEval-2010 Task 8#F1 | |
| Incremental Learning#CIFAR-100 - 50 classes + 5 steps of 10 classes#Average Incremental Accuracy | |
| Cross-View Image-to-Image Translation#cvusa#SSIM | |
| Speech Recognition#MediaSpeech#WER for Arabic | |
| Person Search#PRW#Top-1 | |
| Image Clustering#CIFAR-100#NMI | |
| Face Verification#YouTube Faces DB#Accuracy | |
| Named Entity Recognition#CoNLL 2002 (Dutch)#F1 | |
| Image Super-Resolution#VggFace2 - 8x upscaling#PSNR | |
| Lesion Segmentation#Anatomical Tracings of Lesions After Stroke (ATLAS)#Recall | |
| Synthetic-to-Real Translation#GTAV-to-Cityscapes Labels#mIoU | |
| Fine-Grained Image Classification#Oxford-IIIT Pets#Accuracy | |
| Image Classification#Fashion-MNIST#Percentage error | |
| Question Answering#Children's Book Test#Accuracy-CN | |
| Action Recognition#Something-Something V2#Top-5 Accuracy | |
| Atari Games#Atari 2600 Fishing Derby#Score | |
| Question Answering#NarrativeQA#BLEU-4 | |
| Question Answering#NarrativeQA#BLEU-1 | |
| Text Classification#20NEWS#Accuracy | |
| Image Denoising#DND#PSNR (sRGB) | |
| Visual Object Tracking#VOT2016#Expected Average Overlap (EAO) | |
| Semi-Supervised Image Classification#SVHN, 500 Labels#Accuracy | |
| sentiment_analysis#IMDb#Accuracy | |
| Unsupervised Person Re-Identification#DukeMTMC-reID#Rank-10 | |
| Nested Mention Recognition#ACE 2005#F1 | |
| Domain Adaptation#SVHN-to-MNIST#Accuracy | |
| Object Detection#COCO minival#box AP | |
| Action Recognition#EPIC-KITCHENS-100#GFLOPs | |
| Music Transcription#MusicNet#APS | |
| Semi-Supervised Image Classification#CIFAR-10, 4000 Labels#Accuracy | |
| Hate Speech Detection#Ethos MultiLabel#Hamming Loss | |
| Action Classification#Kinetics-600#GFLOPs | |
| Semi-Supervised Semantic Segmentation#Cityscapes 25% labeled#Validation mIoU | |
| Face Alignment#300W#Fullset (public) | |
| unknown | |