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Models/Joint-candidate SPPE +

Joint-candidate SPPE +

Reported on 20 benchmarks across 4 tasks · 1 paper · 20 SOTA

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

Computer Vision10 results

  • Pose EstimationonCrowdPose
    AP Easy· 2018-12-02
    75.5
    best: 88.8 (RTMO-l)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324
  • Pose EstimationonCrowdPose
    AP Hard· 2018-12-02
    57.4
    best: 466 (DETRPose-N)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324
  • Pose EstimationonCrowdPose
    AP Medium· 2018-12-02
    66.3
    best: 566 (DETRPose-N)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324
  • Pose EstimationonCrowdPose
    FPS· 2018-12-02
    10.1
    best: 52.4 (RTMO-l)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324
  • Pose EstimationonCrowdPose
    mAP @0.5:0.95· 2018-12-02
    66
    best: 83.8 (RTMO-l)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324
  • Multi-Person Pose EstimationonCrowdPose
    AP Easy· 2018-12-02
    75.5
    best: 88.8 (RTMO-l)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324
  • Multi-Person Pose EstimationonCrowdPose
    AP Hard· 2018-12-02
    57.4
    best: 466 (DETRPose-N)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324
  • Multi-Person Pose EstimationonCrowdPose
    AP Medium· 2018-12-02
    66.3
    best: 566 (DETRPose-N)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324
  • Multi-Person Pose EstimationonCrowdPose
    FPS· 2018-12-02
    10.1
    best: 52.4 (RTMO-l)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324
  • Multi-Person Pose EstimationonCrowdPose
    mAP @0.5:0.95· 2018-12-02
    66
    best: 83.8 (RTMO-l)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324

Methodology5 results

  • 3DonCrowdPose
    AP Easy· 2018-12-02
    75.5
    best: 88.8 (RTMO-l)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324
  • 3DonCrowdPose
    AP Hard· 2018-12-02
    57.4
    best: 466 (DETRPose-N)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324
  • 3DonCrowdPose
    AP Medium· 2018-12-02
    66.3
    best: 566 (DETRPose-N)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324
  • 3DonCrowdPose
    FPS· 2018-12-02
    10.1
    best: 52.4 (RTMO-l)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324
  • 3DonCrowdPose
    mAP @0.5:0.95· 2018-12-02
    66
    best: 83.8 (RTMO-l)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324

Audio5 results

  • 1 Image, 2*2 StitchionCrowdPose
    AP Easy· 2018-12-02
    75.5
    best: 88.8 (RTMO-l)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324
  • 1 Image, 2*2 StitchionCrowdPose
    AP Hard· 2018-12-02
    57.4
    best: 466 (DETRPose-N)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324
  • 1 Image, 2*2 StitchionCrowdPose
    AP Medium· 2018-12-02
    66.3
    best: 566 (DETRPose-N)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324
  • 1 Image, 2*2 StitchionCrowdPose
    FPS· 2018-12-02
    10.1
    best: 52.4 (RTMO-l)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324
  • 1 Image, 2*2 StitchionCrowdPose
    mAP @0.5:0.95· 2018-12-02
    66
    best: 83.8 (RTMO-l)
    SOTA
    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New BenchmarkarXiv:1812.00324