TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/HRNet-W32

HRNet-W32

Reported on 26 benchmarks across 5 tasks · 3 papers · 15 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision11 results

  • Pose EstimationonPoPArt
    mAP· 2022-07-06
    52.58
    SOTA
    Semi-supervised Human Pose Estimation in Art-historical ImagesarXiv:2207.02976
  • Pose EstimationonPoPArt
    mAP@0.5· 2022-07-06
    63.92
    SOTA
    Semi-supervised Human Pose Estimation in Art-historical ImagesarXiv:2207.02976
  • Pose EstimationonPoPArt
    mAP@0.75· 2022-07-06
    57.35
    SOTA
    Semi-supervised Human Pose Estimation in Art-historical ImagesarXiv:2207.02976
  • Multi-Person Pose EstimationonPoPArt
    mAP· 2022-07-06
    52.58
    SOTA
    Semi-supervised Human Pose Estimation in Art-historical ImagesarXiv:2207.02976
  • Multi-Person Pose EstimationonPoPArt
    mAP@0.5· 2022-07-06
    63.92
    SOTA
    Semi-supervised Human Pose Estimation in Art-historical ImagesarXiv:2207.02976
  • Multi-Person Pose EstimationonPoPArt
    mAP@0.75· 2022-07-06
    57.35
    SOTA
    Semi-supervised Human Pose Estimation in Art-historical ImagesarXiv:2207.02976
  • Pose EstimationonCOCO test-dev
    AP· 2020-08-17
    76.2
    best: 81.1 (ViTPose (ViTAE-G, ensemble))
    AID: Pushing the Performance Boundary of Human Pose Estimation with Information Dropping AugmentationarXiv:2008.07139
  • Pose EstimationonCOCO minival
    AP· 2020-08-17
    77.8
    best: 79.1 (HRNet-W48plus)
    AID: Pushing the Performance Boundary of Human Pose Estimation with Information Dropping AugmentationarXiv:2008.07139
  • Multi-Person Pose EstimationonCOCO test-dev
    AP· 2020-08-17
    76.2
    best: 79.2 (SCIO (HRNet-48))
    AID: Pushing the Performance Boundary of Human Pose Estimation with Information Dropping AugmentationarXiv:2008.07139
  • Multi-Person Pose EstimationonCOCO minival
    AP· 2020-08-17
    77.8
    best: 79.1 (HRNet-W48plus)
    AID: Pushing the Performance Boundary of Human Pose Estimation with Information Dropping AugmentationarXiv:2008.07139
  • Pose EstimationonMPII Human Pose
    PCKh-0.5· 2019-02-25
    92.3
    best: 94.3 (PCT (swin-l, test set))
    Deep High-Resolution Representation Learning for Human Pose EstimationarXiv:1902.09212

Methodology6 results

  • 3DonPoPArt
    mAP· 2022-07-06
    52.58
    SOTA
    Semi-supervised Human Pose Estimation in Art-historical ImagesarXiv:2207.02976
  • 3DonPoPArt
    mAP@0.5· 2022-07-06
    63.92
    SOTA
    Semi-supervised Human Pose Estimation in Art-historical ImagesarXiv:2207.02976
  • 3DonPoPArt
    mAP@0.75· 2022-07-06
    57.35
    SOTA
    Semi-supervised Human Pose Estimation in Art-historical ImagesarXiv:2207.02976
  • 3DonCOCO test-dev
    AP· 2020-08-17
    76.2
    best: 81.1 (ViTPose (ViTAE-G, ensemble))
    AID: Pushing the Performance Boundary of Human Pose Estimation with Information Dropping AugmentationarXiv:2008.07139
  • 3DonCOCO minival
    AP· 2020-08-17
    77.8
    best: 79.1 (HRNet-W48plus)
    AID: Pushing the Performance Boundary of Human Pose Estimation with Information Dropping AugmentationarXiv:2008.07139
  • 3DonMPII Human Pose
    PCKh-0.5· 2019-02-25
    92.3
    best: 94.3 (PCT (swin-l, test set))
    Deep High-Resolution Representation Learning for Human Pose EstimationarXiv:1902.09212

Audio6 results

  • 1 Image, 2*2 StitchionPoPArt
    mAP· 2022-07-06
    52.58
    SOTA
    Semi-supervised Human Pose Estimation in Art-historical ImagesarXiv:2207.02976
  • 1 Image, 2*2 StitchionPoPArt
    mAP@0.5· 2022-07-06
    63.92
    SOTA
    Semi-supervised Human Pose Estimation in Art-historical ImagesarXiv:2207.02976
  • 1 Image, 2*2 StitchionPoPArt
    mAP@0.75· 2022-07-06
    57.35
    SOTA
    Semi-supervised Human Pose Estimation in Art-historical ImagesarXiv:2207.02976
  • 1 Image, 2*2 StitchionCOCO test-dev
    AP· 2020-08-17
    76.2
    best: 81.1 (ViTPose (ViTAE-G, ensemble))
    AID: Pushing the Performance Boundary of Human Pose Estimation with Information Dropping AugmentationarXiv:2008.07139
  • 1 Image, 2*2 StitchionCOCO minival
    AP· 2020-08-17
    77.8
    best: 79.1 (HRNet-W48plus)
    AID: Pushing the Performance Boundary of Human Pose Estimation with Information Dropping AugmentationarXiv:2008.07139
  • 1 Image, 2*2 StitchionMPII Human Pose
    PCKh-0.5· 2019-02-25
    92.3
    best: 94.3 (PCT (swin-l, test set))
    Deep High-Resolution Representation Learning for Human Pose EstimationarXiv:1902.09212

Knowledge Base3 results

  • 2D Human Pose EstimationonPoPArt
    mAP· 2022-07-06
    52.58
    SOTA
    Semi-supervised Human Pose Estimation in Art-historical ImagesarXiv:2207.02976
  • 2D Human Pose EstimationonPoPArt
    mAP@0.5· 2022-07-06
    63.92
    SOTA
    Semi-supervised Human Pose Estimation in Art-historical ImagesarXiv:2207.02976
  • 2D Human Pose EstimationonPoPArt
    mAP@0.75· 2022-07-06
    57.35
    SOTA
    Semi-supervised Human Pose Estimation in Art-historical ImagesarXiv:2207.02976