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Models/HRNet-48(384x288)

HRNet-48(384x288)

Reported on 6 benchmarks across 3 tasks · 1 paper

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

Computer Vision2 results

  • Pose EstimationonCOCO (Common Objects in Context)
    Test AP· 2019-02-25
    75.5
    best: 78.6 (4xRSN-50(384×288))
    Deep High-Resolution Representation Learning for Human Pose EstimationarXiv:1902.09212
  • Pose EstimationonCOCO (Common Objects in Context)
    Validation AP· 2019-02-25
    76.3
    best: 82.2 (Sapiens-2B)
    Deep High-Resolution Representation Learning for Human Pose EstimationarXiv:1902.09212

Methodology2 results

  • 3DonCOCO (Common Objects in Context)
    Test AP· 2019-02-25
    75.5
    best: 78.6 (4xRSN-50(384×288))
    Deep High-Resolution Representation Learning for Human Pose EstimationarXiv:1902.09212
  • 3DonCOCO (Common Objects in Context)
    Validation AP· 2019-02-25
    76.3
    best: 82.2 (Sapiens-2B)
    Deep High-Resolution Representation Learning for Human Pose EstimationarXiv:1902.09212

Audio2 results

  • 1 Image, 2*2 StitchionCOCO (Common Objects in Context)
    Test AP· 2019-02-25
    75.5
    best: 78.6 (4xRSN-50(384×288))
    Deep High-Resolution Representation Learning for Human Pose EstimationarXiv:1902.09212
  • 1 Image, 2*2 StitchionCOCO (Common Objects in Context)
    Validation AP· 2019-02-25
    76.3
    best: 82.2 (Sapiens-2B)
    Deep High-Resolution Representation Learning for Human Pose EstimationarXiv:1902.09212