Atari 2600 Frostbite
태스크: Atari Games
평가 경로: Atari 2600 Frostbite
Papers with Code · CC BY-SA 4.0
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Atari 2600 Frostbite
태스크: Video Games / Atari Games
평가 경로: Atari 2600 Frostbite
Atari 2600 Gravitar
태스크: Atari Games
평가 경로: Atari 2600 Gravitar
Atari 2600 Gravitar
태스크: Video Games / Atari Games
평가 경로: Atari 2600 Gravitar
D&D
태스크: Classification / Graph Classification
평가 경로: D&D
D&D
태스크: Graph Classification
평가 경로: D&D
LibriSpeech test-other
태스크: Speech Recognition
평가 경로: LibriSpeech test-other
YouTube-VOS 2018
태스크: Semi-Supervised Video Object Segmentation
평가 경로: YouTube-VOS 2018
YouTube-VOS 2018
태스크: Video / Video Object Segmentation / Semi-Supervised Video Object Segmentation
평가 경로: YouTube-VOS 2018
YouTube-VOS 2018
태스크: Video Object Segmentation / Semi-Supervised Video Object Segmentation
평가 경로: YouTube-VOS 2018
Atari 2600 Pong
태스크: Atari Games
평가 경로: Atari 2600 Pong
Atari 2600 Pong
태스크: Video Games / Atari Games
평가 경로: Atari 2600 Pong
Atari 2600 Private Eye
태스크: Atari Games
평가 경로: Atari 2600 Private Eye
Atari 2600 Private Eye
태스크: Video Games / Atari Games
평가 경로: Atari 2600 Private Eye
CNN / Daily Mail
태스크: Abstractive Text Summarization
평가 경로: CNN / Daily Mail
CNN / Daily Mail
태스크: Text Summarization / Abstractive Text Summarization
평가 경로: CNN / Daily Mail
Human3.6M
태스크: 1 Image, 2*2 Stitchi / Pose Estimation / 3D Human Pose Estimation / Monocular 3D Human Pose Estimation
평가 경로: Human3.6M
Human3.6M
태스크: 3D / Pose Estimation / 3D Human Pose Estimation / Monocular 3D Human Pose Estimation
평가 경로: Human3.6M
Human3.6M
태스크: 3D Human Pose Estimation / Monocular 3D Human Pose Estimation
평가 경로: Human3.6M
Human3.6M
태스크: Pose Estimation / 3D Human Pose Estimation / Monocular 3D Human Pose Estimation
평가 경로: Human3.6M
ImageNet
태스크: Knowledge Distillation
평가 경로: ImageNet
ImageNet 512x512
태스크: Image Generation
평가 경로: ImageNet 512x512
UCF101
태스크: Action Recognition / Self-Supervised Action Recognition
평가 경로: UCF101
UCF101
태스크: Activity Recognition / Action Recognition / Self-Supervised Action Recognition
평가 경로: UCF101
AudioSet
태스크: Audio Classification
평가 경로: AudioSet
AudioSet
태스크: Classification / Audio Classification
평가 경로: AudioSet
Clothing1M
태스크: Image Classification
평가 경로: Clothing1M
FFHQ 256 x 256
태스크: Image Generation
평가 경로: FFHQ 256 x 256
Flowers-102
태스크: Image Classification
평가 경로: Flowers-102
IMDb-B
태스크: Classification / Graph Classification
평가 경로: IMDb-B
IMDb-B
태스크: Graph Classification
평가 경로: IMDb-B
PASCAL VOC 2012 test
태스크: 10-shot image generation / Semantic Segmentation
평가 경로: PASCAL VOC 2012 test
PASCAL VOC 2012 test
태스크: Semantic Segmentation
평가 경로: PASCAL VOC 2012 test
Tiered ImageNet 5-way (5-shot)
태스크: Few-Shot Image Classification
평가 경로: Tiered ImageNet 5-way (5-shot)
Tiered ImageNet 5-way (5-shot)
태스크: Image Classification / Few-Shot Image Classification
평가 경로: Tiered ImageNet 5-way (5-shot)
AffectNet
태스크: 3D / 3D Face Reconstruction / Facial Recognition and Modelling / Facial Expression Recognition (FER)
평가 경로: AffectNet
AffectNet
태스크: 3D Face Modelling / Facial Recognition and Modelling / Facial Expression Recognition (FER)
평가 경로: AffectNet
AffectNet
태스크: 3D Face Reconstruction / Facial Recognition and Modelling / Facial Expression Recognition (FER)
평가 경로: AffectNet
AffectNet
태스크: Face Reconstruction / 3D Face Reconstruction / Facial Recognition and Modelling / Facial Expression Recognition (FER)
평가 경로: AffectNet
AffectNet
태스크: Facial Expression Recognition (FER)
평가 경로: AffectNet
AffectNet
태스크: Facial Recognition and Modelling / Facial Expression Recognition (FER)
평가 경로: AffectNet
Atari 2600 Montezuma's Revenge
태스크: Atari Games
평가 경로: Atari 2600 Montezuma's Revenge
Atari 2600 Montezuma's Revenge
태스크: Video Games / Atari Games
평가 경로: Atari 2600 Montezuma's Revenge
CIFAR-10-LT (ρ=10)
태스크: Few-Shot Image Classification / Generalized Few-Shot Classification / Long-tail Learning
평가 경로: CIFAR-10-LT (ρ=10)
CIFAR-10-LT (ρ=10)
태스크: Generalized Few-Shot Classification / Long-tail Learning
평가 경로: CIFAR-10-LT (ρ=10)
CIFAR-10-LT (ρ=10)
태스크: Generalized Few-Shot Learning / Long-tail Learning
평가 경로: CIFAR-10-LT (ρ=10)
CIFAR-10-LT (ρ=10)
태스크: Image Classification / Few-Shot Image Classification / Generalized Few-Shot Classification / Long-tail Learning
평가 경로: CIFAR-10-LT (ρ=10)
CIFAR-10-LT (ρ=10)
태스크: Long-tail Learning
평가 경로: CIFAR-10-LT (ρ=10)
Manga109 - 4x upscaling
태스크: 16k / Image Super-Resolution
평가 경로: Manga109 - 4x upscaling
Manga109 - 4x upscaling
태스크: 3D Object Super-Resolution / Super-Resolution / Image Super-Resolution
평가 경로: Manga109 - 4x upscaling