TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Datasets/RED

RED

Real Embodied Dataset

Images

The Real Embodied Dataset (RED) is a computer vision large-scale dataset for grasping in cluttered scenes. It contains complete segmentation masks for partially occluded objects, with their order of occlusion.

Source: https://arxiv.org/pdf/2004.13358.pdf Image Source: https://arxiv.org/pdf/2004.13358.pdf

Related Benchmarks

REDDIT-12K/Classification/Accuracy (10 fold)REDDIT-12K/Graph Classification/Accuracy (10 fold)REDDIT-B/Classification/AccuracyREDDIT-B/Classification/Accuracy (10-fold)REDDIT-B/Graph Classification/AccuracyREDDIT-B/Graph Classification/Accuracy (10-fold)REDDIT-BINARY/Classification/AccuracyREDDIT-BINARY/Classification/Accuracy (10-fold)REDDIT-BINARY/Graph Classification/AccuracyREDDIT-BINARY/Graph Classification/Accuracy (10-fold)REDDIT-MULTI-12K/Classification/AccuracyREDDIT-MULTI-12K/Graph Classification/AccuracyREDDIT-MULTI-5k/Classification/AccuracyREDDIT-MULTI-5k/Graph Classification/AccuracyREDS/10-shot image generation/Average PSNRREDS/2D Classification/Average PSNRREDS/Blind Image Deblurring/Average PSNRREDS/Deblurring/Average PSNRREDS4- 4x upscaling/1 Image, 2*2 Stitchi/PSNRREDS4- 4x upscaling/1 Image, 2*2 Stitchi/SSIMREDS4- 4x upscaling/2D Human Pose Estimation/PSNRREDS4- 4x upscaling/2D Human Pose Estimation/SSIMREDS4- 4x upscaling/3D/PSNRREDS4- 4x upscaling/3D/SSIMREDS4- 4x upscaling/3D Absolute Human Pose Estimation/PSNRREDS4- 4x upscaling/3D Absolute Human Pose Estimation/SSIMREDS4- 4x upscaling/3D Face Animation/PSNRREDS4- 4x upscaling/3D Face Animation/SSIMREDS4- 4x upscaling/3D Human Pose Estimation/PSNRREDS4- 4x upscaling/3D Human Pose Estimation/SSIMREDS4- 4x upscaling/3D Object Super-Resolution/PSNRREDS4- 4x upscaling/3D Object Super-Resolution/SSIMREDS4- 4x upscaling/Pose Estimation/PSNRREDS4- 4x upscaling/Pose Estimation/SSIMREDS4- 4x upscaling/Super-Resolution/PSNRREDS4- 4x upscaling/Super-Resolution/SSIMREDS4- 4x upscaling/Video/PSNRREDS4- 4x upscaling/Video/SSIMREDS4- 4x upscaling/Video Super-Resolution/PSNRREDS4- 4x upscaling/Video Super-Resolution/SSIMReDial/Recommendation Systems/Recall@1ReDial/Recommendation Systems/Recall@10ReDial/Recommendation Systems/Recall@50ReDial/Text Generation/Distinct-2ReDial/Text Generation/Distinct-3ReDial/Text Generation/Distinct-4ReDial/Text Generation/PerplexityReDocRED/Relation Extraction/F1ReDocRED/Relation Extraction/Ign F1Red MiniImageNet 20% label noise/Document Text Classification/Test AccuracyRed MiniImageNet 20% label noise/Image Classification/AccuracyRed MiniImageNet 20% label noise/Image Classification/Test AccuracyRed MiniImageNet 40% label noise/Document Text Classification/Test AccuracyRed MiniImageNet 40% label noise/Image Classification/AccuracyRed MiniImageNet 40% label noise/Image Classification/Test AccuracyRed MiniImageNet 60% label noise/Document Text Classification/Test AccuracyRed MiniImageNet 60% label noise/Image Classification/AccuracyRed MiniImageNet 60% label noise/Image Classification/Test AccuracyRed MiniImageNet 80% label noise/Document Text Classification/Test AccuracyRed MiniImageNet 80% label noise/Image Classification/AccuracyRed MiniImageNet 80% label noise/Image Classification/Test AccuracyReddit/Link Prediction/APReddit/Node Classification/AccuracyReddit/Node Classification/Micro-F1Reddit (multi-ref)/Chatbot/interest (human)Reddit (multi-ref)/Chatbot/relevance (human)Reddit (multi-ref)/Dialogue/interest (human)Reddit (multi-ref)/Dialogue/relevance (human)Reddit (multi-ref)/Dialogue Generation/interest (human)Reddit (multi-ref)/Dialogue Generation/relevance (human)Reddit (multi-ref)/Text Generation/interest (human)Reddit (multi-ref)/Text Generation/relevance (human)Reddit Ideological and Extreme Bias Dataset/Cross-Lingual/weighted-F1 scoreReddit Ideological and Extreme Bias Dataset/Cross-Lingual Document Classification/weighted-F1 scoreReddit Ideology Database/Classification/F1-score (Weighted)Reddit TIFU/Text Summarization/ROUGE-1Reddit TIFU/Text Summarization/ROUGE-2Reddit TIFU/Text Summarization/ROUGE-LReduced QuickBird PanCollection/Image Fusion/ERGASReduced QuickBird PanCollection/Image Fusion/Q4Reduced QuickBird PanCollection/Image Fusion/SAMReduced WorldView-3 PanCollection/Image Fusion/ERGASReduced WorldView-3 PanCollection/Image Fusion/Q8Reduced WorldView-3 PanCollection/Image Fusion/SAM

Statistics

Papers
4
Benchmarks
0

Links

Homepage