MUSDB18
태스크: 2D Classification / Music Source Separation
평가 경로: MUSDB18
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태스크: 2D Classification / Music Source Separation
평가 경로: MUSDB18
태스크: Music Source Separation
평가 경로: MUSDB18
태스크: Named Entity Recognition (NER)
평가 경로: NCBI-disease
태스크: Link Property Prediction
평가 경로: ogbl-ppa
태스크: Node Property Prediction
평가 경로: ogbn-proteins
태스크: Coreference Resolution
평가 경로: OntoNotes
태스크: Node Classification
평가 경로: PubMed (48%/32%/20% fixed splits)
태스크: Math Word Problem Solving
평가 경로: SVAMP
태스크: Mathematical Question Answering / Math Word Problem Solving
평가 경로: SVAMP
태스크: Mathematical Reasoning / Math Word Problem Solving
평가 경로: SVAMP
태스크: Question Answering / Mathematical Question Answering / Math Word Problem Solving
평가 경로: SVAMP
태스크: Node Classification / Node Classification on Non-Homophilic (Heterophilic) Graphs
평가 경로: Texas (48%/32%/20% fixed splits)
태스크: Node Classification / Node Classification on Non-Homophilic (Heterophilic) Graphs
평가 경로: twitch-gamers
태스크: Node Classification / Node Classification on Non-Homophilic (Heterophilic) Graphs
평가 경로: Wisconsin (48%/32%/20% fixed splits)
태스크: Video Instance Segmentation
평가 경로: YouTube-VIS 2021
태스크: Named Entity Recognition (NER) / Nested Named Entity Recognition
평가 경로: ACE 2005
태스크: 1 Image, 2*2 Stitchi / Pose Estimation / Head Pose Estimation
평가 경로: AFLW2000
태스크: 3D / Pose Estimation / Head Pose Estimation
평가 경로: AFLW2000
태스크: Pose Estimation / Head Pose Estimation
평가 경로: AFLW2000
태스크: Natural Language Inference
평가 경로: ANLI test
태스크: Remote Sensing / Change detection for remote sensing images
평가 경로: CDD Dataset (season-varying)
태스크: Moment Retrieval
평가 경로: Charades-STA
태스크: Conditional Image Generation
평가 경로: CIFAR-10
태스크: Image Generation / Conditional Image Generation
평가 경로: CIFAR-10
태스크: Few-Shot Image Classification / Generalized Few-Shot Classification / Long-tail Learning
평가 경로: CIFAR-100-LT (ρ=50)
태스크: Generalized Few-Shot Classification / Long-tail Learning
평가 경로: CIFAR-100-LT (ρ=50)
태스크: Generalized Few-Shot Learning / Long-tail Learning
평가 경로: CIFAR-100-LT (ρ=50)
태스크: Image Classification / Few-Shot Image Classification / Generalized Few-Shot Classification / Long-tail Learning
평가 경로: CIFAR-100-LT (ρ=50)
태스크: Long-tail Learning
평가 경로: CIFAR-100-LT (ρ=50)
태스크: Document Text Classification / Learning with noisy labels
평가 경로: CIFAR-10N-Worst
태스크: Image Classification / Learning with noisy labels
평가 경로: CIFAR-10N-Worst
태스크: Medical Image Segmentation
평가 경로: CVC-ColonDB
태스크: Video / Video Object Segmentation / Unsupervised Video Object Segmentation
평가 경로: DAVIS 2016 val
태스크: Video Object Segmentation / Unsupervised Video Object Segmentation
평가 경로: DAVIS 2016 val
태스크: Medical Image Segmentation
평가 경로: ETIS-LARIBPOLYPDB
태스크: Out-of-Distribution Detection
평가 경로: ImageNet-1k vs Places
태스크: 16k / Object Detection / 3D Object Detection
평가 경로: KITTI Cars Hard
태스크: 2D Classification / Object Detection / 3D Object Detection
평가 경로: KITTI Cars Hard
태스크: 2D Object Detection / Object Detection / 3D Object Detection
평가 경로: KITTI Cars Hard
태스크: 3D / Object Detection / 3D Object Detection
평가 경로: KITTI Cars Hard
태스크: 3D Object Detection
평가 경로: KITTI Cars Hard
태스크: Object Detection / 3D Object Detection
평가 경로: KITTI Cars Hard
태스크: Instance Segmentation
평가 경로: LVIS v1.0 val
태스크: Domain Adaptation / Unsupervised Domain Adaptation
평가 경로: Market to Duke
태스크: Unsupervised Domain Adaptation
평가 경로: Market to Duke
태스크: Math Word Problem Solving
평가 경로: MAWPS
태스크: Mathematical Question Answering / Math Word Problem Solving
평가 경로: MAWPS
태스크: Mathematical Reasoning / Math Word Problem Solving
평가 경로: MAWPS
태스크: Question Answering / Mathematical Question Answering / Math Word Problem Solving
평가 경로: MAWPS
태스크: 16k / Object Detection / Few-Shot Object Detection
평가 경로: MS-COCO (30-shot)