ImageNet 256x256
태스크: Image Generation
평가 경로: ImageNet 256x256
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태스크: Image Generation
평가 경로: ImageNet 256x256
태스크: Instance Segmentation
평가 경로: COCO minival
태스크: Action Recognition
평가 경로: UCF101
태스크: Activity Recognition / Action Recognition
평가 경로: UCF101
태스크: Machine Translation
평가 경로: WMT2014 English-German
태스크: Natural Language Inference
평가 경로: RTE
태스크: Domain Adaptation / Domain Generalization
평가 경로: VizWiz-Classification
태스크: Domain Generalization
평가 경로: VizWiz-Classification
태스크: Sentence Completion
평가 경로: HellaSwag
태스크: 1 Image, 2*2 Stitchi / Pose Estimation / 3D Human Pose Estimation
평가 경로: Human3.6M
태스크: 3D / Pose Estimation / 3D Human Pose Estimation
평가 경로: Human3.6M
태스크: 3D Human Pose Estimation
평가 경로: Human3.6M
태스크: Pose Estimation / 3D Human Pose Estimation
평가 경로: Human3.6M
태스크: Language Modelling
평가 경로: WikiText-103
태스크: Sentiment Analysis
평가 경로: SST-2 Binary classification
태스크: Node Property Prediction
평가 경로: ogbn-arxiv
태스크: Few-Shot Learning / Few-Shot Semantic Segmentation
평가 경로: COCO-20i (1-shot)
태스크: Few-Shot Semantic Segmentation
평가 경로: COCO-20i (1-shot)
태스크: Meta-Learning / Few-Shot Learning / Few-Shot Semantic Segmentation
평가 경로: COCO-20i (1-shot)
태스크: 1 Image, 2*2 Stitchi / Pose Estimation / 3D Human Pose Estimation / 3D Absolute Human Pose Estimation / 3D Face Animation / Video Super-Resolution
평가 경로: MSU Super-Resolution for Video Compression
태스크: 2D Human Pose Estimation / 3D Face Animation / Video Super-Resolution
평가 경로: MSU Super-Resolution for Video Compression
태스크: 3D / Pose Estimation / 3D Human Pose Estimation / 3D Absolute Human Pose Estimation / 3D Face Animation / Video Super-Resolution
평가 경로: MSU Super-Resolution for Video Compression
태스크: 3D Absolute Human Pose Estimation / 3D Face Animation / Video Super-Resolution
평가 경로: MSU Super-Resolution for Video Compression
태스크: 3D Face Animation / Video Super-Resolution
평가 경로: MSU Super-Resolution for Video Compression
태스크: 3D Human Pose Estimation / 3D Absolute Human Pose Estimation / 3D Face Animation / Video Super-Resolution
평가 경로: MSU Super-Resolution for Video Compression
태스크: 3D Object Super-Resolution / Super-Resolution / Video Super-Resolution
평가 경로: MSU Super-Resolution for Video Compression
태스크: Pose Estimation / 3D Human Pose Estimation / 3D Absolute Human Pose Estimation / 3D Face Animation / Video Super-Resolution
평가 경로: MSU Super-Resolution for Video Compression
태스크: Super-Resolution / Video Super-Resolution
평가 경로: MSU Super-Resolution for Video Compression
태스크: Video / Video Super-Resolution
평가 경로: MSU Super-Resolution for Video Compression
태스크: Video Super-Resolution
평가 경로: MSU Super-Resolution for Video Compression
태스크: 3D / Depth Estimation / Monocular Depth Estimation
평가 경로: NYU-Depth V2
태스크: Depth Estimation / Monocular Depth Estimation
평가 경로: NYU-Depth V2
태스크: 3D Action Recognition / Skeleton Based Action Recognition
평가 경로: NTU RGB+D 120
태스크: Action Detection / Skeleton Based Action Recognition
평가 경로: NTU RGB+D 120
태스크: Action Localization / Temporal Action Localization / 3D Action Recognition / Skeleton Based Action Recognition
평가 경로: NTU RGB+D 120
태스크: Action Recognition / 3D Action Recognition / Skeleton Based Action Recognition
평가 경로: NTU RGB+D 120
태스크: Activity Recognition / Action Recognition / 3D Action Recognition / Skeleton Based Action Recognition
평가 경로: NTU RGB+D 120
태스크: Temporal Action Localization / 3D Action Recognition / Skeleton Based Action Recognition
평가 경로: NTU RGB+D 120
태스크: Video / Temporal Action Localization / 3D Action Recognition / Skeleton Based Action Recognition
평가 경로: NTU RGB+D 120
태스크: Zero-Shot Learning / Temporal Action Localization / 3D Action Recognition / Skeleton Based Action Recognition
평가 경로: NTU RGB+D 120
태스크: Fine-Grained Image Classification
평가 경로: Stanford Cars
태스크: Image Classification / Fine-Grained Image Classification
평가 경로: Stanford Cars
태스크: Coreference Resolution
평가 경로: Winograd Schema Challenge
태스크: 16k / Object Detection / Real-Time Object Detection
평가 경로: COCO (Common Objects in Context)
태스크: 2D Classification / Object Detection / Real-Time Object Detection
평가 경로: COCO (Common Objects in Context)
태스크: 2D Object Detection / Object Detection / Real-Time Object Detection
평가 경로: COCO (Common Objects in Context)
태스크: 3D / Object Detection / Real-Time Object Detection
평가 경로: COCO (Common Objects in Context)
태스크: Object Detection / Real-Time Object Detection
평가 경로: COCO (Common Objects in Context)
태스크: Few-Shot Learning / Few-Shot Semantic Segmentation
평가 경로: COCO-20i (5-shot)
태스크: Few-Shot Semantic Segmentation
평가 경로: COCO-20i (5-shot)