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Models/HRNet pre-trained on COCO

HRNet pre-trained on COCO

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 EstimationonBRACE
    Average Precision· 2019-02-25
    0.158
    best: 0.357 (HRNet fine-tuned on BRACE)
    Deep High-Resolution Representation Learning for Human Pose EstimationarXiv:1902.09212
  • Pose EstimationonBRACE
    Average Recall· 2019-02-25
    0.202
    best: 0.445 (HRNet fine-tuned on BRACE)
    Deep High-Resolution Representation Learning for Human Pose EstimationarXiv:1902.09212

Methodology2 results

  • 3DonBRACE
    Average Precision· 2019-02-25
    0.158
    best: 0.357 (HRNet fine-tuned on BRACE)
    Deep High-Resolution Representation Learning for Human Pose EstimationarXiv:1902.09212
  • 3DonBRACE
    Average Recall· 2019-02-25
    0.202
    best: 0.445 (HRNet fine-tuned on BRACE)
    Deep High-Resolution Representation Learning for Human Pose EstimationarXiv:1902.09212

Audio2 results

  • 1 Image, 2*2 StitchionBRACE
    Average Precision· 2019-02-25
    0.158
    best: 0.357 (HRNet fine-tuned on BRACE)
    Deep High-Resolution Representation Learning for Human Pose EstimationarXiv:1902.09212
  • 1 Image, 2*2 StitchionBRACE
    Average Recall· 2019-02-25
    0.202
    best: 0.445 (HRNet fine-tuned on BRACE)
    Deep High-Resolution Representation Learning for Human Pose EstimationarXiv:1902.09212