QUESST
태스크: Keyword Spotting
평가 경로: QUESST
Papers with Code · CC BY-SA 4.0
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이름이 일치하거나 비슷한 평가표 후보입니다. 같은 이름이라도 태스크·분할·평가 조건이 다를 수 있으므로 경로를 확인하세요. 동결 아카이브의 기록이며 최신 순위를 뜻하지 않습니다.
MELD
태스크: Emotion Recognition / Emotion Recognition in Conversation
평가 경로: MELD
COCO (Common Objects in Context)
태스크: 1 Image, 2*2 Stitchi / Text-to-Image Generation
평가 경로: COCO (Common Objects in Context)
COCO (Common Objects in Context)
태스크: 10-shot image generation / Text-to-Image Generation
평가 경로: COCO (Common Objects in Context)
COCO (Common Objects in Context)
태스크: Image Generation / Text-to-Image Generation
평가 경로: COCO (Common Objects in Context)
COCO (Common Objects in Context)
태스크: Text-to-Image Generation
평가 경로: COCO (Common Objects in Context)
MultiNLI
태스크: Natural Language Inference
평가 경로: MultiNLI
PIQA
태스크: Question Answering
평가 경로: PIQA
ShapeNet-Part
태스크: 10-shot image generation / Semantic Segmentation / 3D Part Segmentation
평가 경로: ShapeNet-Part
ShapeNet-Part
태스크: Semantic Segmentation / 3D Part Segmentation
평가 경로: ShapeNet-Part
CIFAR-100-LT (ρ=100)
태스크: Few-Shot Image Classification / Generalized Few-Shot Classification / Long-tail Learning
평가 경로: CIFAR-100-LT (ρ=100)
CIFAR-100-LT (ρ=100)
태스크: Generalized Few-Shot Classification / Long-tail Learning
평가 경로: CIFAR-100-LT (ρ=100)
CIFAR-100-LT (ρ=100)
태스크: Generalized Few-Shot Learning / Long-tail Learning
평가 경로: CIFAR-100-LT (ρ=100)
CIFAR-100-LT (ρ=100)
태스크: Image Classification / Few-Shot Image Classification / Generalized Few-Shot Classification / Long-tail Learning
평가 경로: CIFAR-100-LT (ρ=100)
CIFAR-100-LT (ρ=100)
태스크: Long-tail Learning
평가 경로: CIFAR-100-LT (ρ=100)
PASCAL Context
태스크: 10-shot image generation / Semantic Segmentation
평가 경로: PASCAL Context
PASCAL Context
태스크: Semantic Segmentation
평가 경로: PASCAL Context
STS Benchmark
태스크: Semantic Textual Similarity
평가 경로: STS Benchmark
BoolQ
태스크: Question Answering
평가 경로: BoolQ
ImageNet - 1% labeled data
태스크: Image Classification / Semi-Supervised Image Classification
평가 경로: ImageNet - 1% labeled data
ImageNet - 1% labeled data
태스크: Semi-Supervised Image Classification
평가 경로: ImageNet - 1% labeled data
ImageNet 64x64
태스크: Image Generation
평가 경로: ImageNet 64x64
Kinetics-600
태스크: Video / Action Classification
평가 경로: Kinetics-600
Urban100 - 4x upscaling
태스크: 16k / Image Super-Resolution
평가 경로: Urban100 - 4x upscaling
Urban100 - 4x upscaling
태스크: 3D Object Super-Resolution / Super-Resolution / Image Super-Resolution
평가 경로: Urban100 - 4x upscaling
Urban100 - 4x upscaling
태스크: Image Super-Resolution
평가 경로: Urban100 - 4x upscaling
Urban100 - 4x upscaling
태스크: Super-Resolution / Image Super-Resolution
평가 경로: Urban100 - 4x upscaling
LibriSpeech test-clean
태스크: Speech Recognition
평가 경로: LibriSpeech test-clean
ogbn-products
태스크: Node Property Prediction
평가 경로: ogbn-products
CULane
태스크: Autonomous Vehicles / Lane Detection
평가 경로: CULane
CULane
태스크: Lane Detection
평가 경로: CULane
ImageNet (finetuned)
태스크: Image Classification / Self-Supervised Image Classification
평가 경로: ImageNet (finetuned)
MSR-VTT-1kA
태스크: Video / Video Retrieval
평가 경로: MSR-VTT-1kA
MSR-VTT-1kA
태스크: Video Retrieval
평가 경로: MSR-VTT-1kA
Wisconsin
태스크: Node Classification
평가 경로: Wisconsin
Actor
태스크: Node Classification
평가 경로: Actor
SVHN
태스크: Image Classification
평가 경로: SVHN
Texas
태스크: Node Classification
평가 경로: Texas
Chameleon
태스크: Node Classification
평가 경로: Chameleon
DocRED
태스크: Relation Extraction
평가 경로: DocRED
S3DIS Area5
태스크: 10-shot image generation / Semantic Segmentation
평가 경로: S3DIS Area5
S3DIS Area5
태스크: Semantic Segmentation
평가 경로: S3DIS Area5
COPA
태스크: Question Answering
평가 경로: COPA
Cornell
태스크: Node Classification
평가 경로: Cornell
iNaturalist 2018
태스크: Image Classification
평가 경로: iNaturalist 2018
PASCAL VOC 2012 test
태스크: 10-shot image generation / Semantic Segmentation / Weakly-Supervised Semantic Segmentation
평가 경로: PASCAL VOC 2012 test
PASCAL VOC 2012 test
태스크: Semantic Segmentation / Weakly-Supervised Semantic Segmentation
평가 경로: PASCAL VOC 2012 test
Atari 2600 Freeway
태스크: Atari Games
평가 경로: Atari 2600 Freeway
Atari 2600 Freeway
태스크: Video Games / Atari Games
평가 경로: Atari 2600 Freeway
DAVIS 2017 (test-dev)
태스크: Semi-Supervised Video Object Segmentation
평가 경로: DAVIS 2017 (test-dev)