Flickr30k
태스크: Image Retrieval with Multi-Modal Query / Zero-Shot Cross-Modal Retrieval
평가 경로: Flickr30k
Papers with Code · CC BY-SA 4.0
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FreeSolv
태스크: Atomistic Description / Molecular Property Prediction
평가 경로: FreeSolv
FreeSolv
태스크: Molecular Property Prediction
평가 경로: FreeSolv
FSS-1000 (5-shot)
태스크: Few-Shot Learning / Few-Shot Semantic Segmentation
평가 경로: FSS-1000 (5-shot)
FSS-1000 (5-shot)
태스크: Few-Shot Semantic Segmentation
평가 경로: FSS-1000 (5-shot)
FSS-1000 (5-shot)
태스크: Meta-Learning / Few-Shot Learning / Few-Shot Semantic Segmentation
평가 경로: FSS-1000 (5-shot)
GTAV-to-Cityscapes Labels
태스크: 1 Image, 2*2 Stitching / Image-to-Image Translation
평가 경로: GTAV-to-Cityscapes Labels
GTAV-to-Cityscapes Labels
태스크: Image Generation / Image-to-Image Translation
평가 경로: GTAV-to-Cityscapes Labels
GTAV-to-Cityscapes Labels
태스크: Image-to-Image Translation
평가 경로: GTAV-to-Cityscapes Labels
ImageNet 128x128
태스크: Conditional Image Generation
평가 경로: ImageNet 128x128
ImageNet 128x128
태스크: Image Generation / Conditional Image Generation
평가 경로: ImageNet 128x128
ImageNet-1K (with DeiT-T)
태스크: Image Classification / Efficient ViTs
평가 경로: ImageNet-1K (with DeiT-T)
ImageNet-1k vs SUN
태스크: Out-of-Distribution Detection
평가 경로: ImageNet-1k vs SUN
iNaturalist 2019
태스크: Image Classification
평가 경로: iNaturalist 2019
LiDiRus
태스크: Natural Language Inference
평가 경로: LiDiRus
LineMOD
태스크: 1 Image, 2*2 Stitchi / Pose Estimation / 6D Pose Estimation using RGB
평가 경로: LineMOD
LineMOD
태스크: 3D / Pose Estimation / 6D Pose Estimation using RGB
평가 경로: LineMOD
LineMOD
태스크: Pose Estimation / 6D Pose Estimation using RGB
평가 경로: LineMOD
Lip Reading in the Wild
태스크: Lipreading
평가 경로: Lip Reading in the Wild
Lip Reading in the Wild
태스크: Natural Language Transduction / Lipreading
평가 경로: Lip Reading in the Wild
LRS3-TED
태스크: Lipreading
평가 경로: LRS3-TED
LRS3-TED
태스크: Natural Language Transduction / Lipreading
평가 경로: LRS3-TED
Market-1501-C
태스크: Person Re-Identification
평가 경로: Market-1501-C
MCubeS
태스크: 10-shot image generation / Semantic Segmentation
평가 경로: MCubeS
MCubeS
태스크: Semantic Segmentation
평가 경로: MCubeS
MedMCQA
태스크: Question Answering / Multiple Choice Question Answering (MCQA)
평가 경로: MedMCQA
Meta-Dataset
태스크: Few-Shot Image Classification
평가 경로: Meta-Dataset
Meta-Dataset
태스크: Image Classification / Few-Shot Image Classification
평가 경로: Meta-Dataset
MSCOCO
태스크: Instance Segmentation / Real-time Instance Segmentation
평가 경로: MSCOCO
MuSeRC
태스크: Reading Comprehension
평가 경로: MuSeRC
MVBench
태스크: Video Question Answering
평가 경로: MVBench
OCW
태스크: Clustering / Constrained Clustering / Only Connect Walls Dataset Task 1 (Grouping)
평가 경로: OCW
OCW
태스크: Constrained Clustering / Only Connect Walls Dataset Task 1 (Grouping)
평가 경로: OCW
OmniBenchmark
태스크: Image Classification
평가 경로: OmniBenchmark
PARus
태스크: Common Sense Reasoning
평가 경로: PARus
Penn Treebank
태스크: Dependency Parsing
평가 경로: Penn Treebank
Pittsburgh-30k-test
태스크: Visual Place Recognition
평가 경로: Pittsburgh-30k-test
PST900
태스크: 10-shot image generation / Semantic Segmentation / Scene Segmentation / Thermal Image Segmentation
평가 경로: PST900
PST900
태스크: 2D Object Detection / Thermal Image Segmentation
평가 경로: PST900
PST900
태스크: Scene Segmentation / Thermal Image Segmentation
평가 경로: PST900
PST900
태스크: Semantic Segmentation / Scene Segmentation / Thermal Image Segmentation
평가 경로: PST900
RCB
태스크: Natural Language Inference
평가 경로: RCB
RGB-T-Glass-Segmentation
태스크: 10-shot image generation / Semantic Segmentation / Scene Segmentation / Thermal Image Segmentation
평가 경로: RGB-T-Glass-Segmentation
RGB-T-Glass-Segmentation
태스크: 2D Object Detection / Thermal Image Segmentation
평가 경로: RGB-T-Glass-Segmentation
RGB-T-Glass-Segmentation
태스크: Scene Segmentation / Thermal Image Segmentation
평가 경로: RGB-T-Glass-Segmentation
RGB-T-Glass-Segmentation
태스크: Semantic Segmentation / Scene Segmentation / Thermal Image Segmentation
평가 경로: RGB-T-Glass-Segmentation
RuCoS
태스크: Common Sense Reasoning
평가 경로: RuCoS
RUSSE
태스크: Word Sense Disambiguation
평가 경로: RUSSE
RWSD
태스크: Common Sense Reasoning
평가 경로: RWSD
RWTH-PHOENIX-Weather 2014
태스크: Sign Language Recognition
평가 경로: RWTH-PHOENIX-Weather 2014