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Models/MSPN

MSPN

Reported on 36 benchmarks across 3 tasks · 1 paper · 21 SOTA

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

Computer Vision18 results

  • Pose EstimationonCOCO minival
    AP· 2019-01-01
    75.9
    best: 79.1 (HRNet-W48plus)
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • Pose EstimationonCOCO test-dev
    AP· 2019-01-01
    76.1
    best: 81.1 (ViTPose (ViTAE-G, ensemble))
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • Pose EstimationonCOCO test-dev
    AP50· 2019-01-01
    93.4
    best: 95 (ViTPose (ViTAE-G, ensemble))
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • Pose EstimationonCOCO test-dev
    AR· 2019-01-01
    81.6
    best: 88.2 (Simple Pose)
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • Pose EstimationonMPII Human Pose
    PCKh-0.5· 2019-01-01
    92.6
    best: 94.3 (PCT (swin-l, test set))
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • Pose EstimationonCOCO test-dev
    AR50· 2019-01-01
    96.3
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • Pose EstimationonCOCO test-dev
    ARM· 2019-01-01
    77.5
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • Pose EstimationonCOCO test-dev
    AP75· 2019-01-01
    83.8
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • Pose EstimationonCOCO test-dev
    APL· 2019-01-01
    81.5
    best: 86.5 (PoseBH-H)
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • Pose EstimationonCOCO test-dev
    APM· 2019-01-01
    72.3
    best: 83.8 (4xRSN-50 (ensemble))
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • Pose EstimationonCOCO test-dev
    AP· 2019-01-01
    76.1
    best: 81.1 (ViTPose (ViTAE-G, ensemble))
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • Pose EstimationonCOCO test-dev
    AP50· 2019-01-01
    93.4
    best: 95 (ViTPose (ViTAE-G, ensemble))
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • Pose EstimationonCOCO test-dev
    AP75· 2019-01-01
    83.8
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • Pose EstimationonCOCO test-dev
    APL· 2019-01-01
    81.5
    best: 86.5 (PoseBH-H)
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • Pose EstimationonCOCO test-dev
    APM· 2019-01-01
    72.3
    best: 83.8 (4xRSN-50 (ensemble))
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • Pose EstimationonCOCO test-dev
    AR· 2019-01-01
    81.6
    best: 88.2 (Simple Pose)
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • Pose EstimationonCOCO test-dev
    AR75· 2019-01-01
    88.1
    best: 88.2 (Simple Base+*)
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • Pose EstimationonCOCO test-dev
    ARL· 2019-01-01
    87.1
    best: 87.2 (Simple Base+*)
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148

Methodology18 results

  • 3DonCOCO minival
    AP· 2019-01-01
    75.9
    best: 79.1 (HRNet-W48plus)
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 3DonCOCO test-dev
    AP· 2019-01-01
    76.1
    best: 81.1 (ViTPose (ViTAE-G, ensemble))
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 3DonCOCO test-dev
    AP50· 2019-01-01
    93.4
    best: 95 (ViTPose (ViTAE-G, ensemble))
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 3DonCOCO test-dev
    AR· 2019-01-01
    81.6
    best: 88.2 (Simple Pose)
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 3DonMPII Human Pose
    PCKh-0.5· 2019-01-01
    92.6
    best: 94.3 (PCT (swin-l, test set))
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 3DonCOCO test-dev
    AR50· 2019-01-01
    96.3
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 3DonCOCO test-dev
    ARM· 2019-01-01
    77.5
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 3DonCOCO test-dev
    AP75· 2019-01-01
    83.8
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 3DonCOCO test-dev
    APL· 2019-01-01
    81.5
    best: 86.5 (PoseBH-H)
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 3DonCOCO test-dev
    APM· 2019-01-01
    72.3
    best: 83.8 (4xRSN-50 (ensemble))
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 3DonCOCO test-dev
    AP· 2019-01-01
    76.1
    best: 81.1 (ViTPose (ViTAE-G, ensemble))
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 3DonCOCO test-dev
    AP50· 2019-01-01
    93.4
    best: 95 (ViTPose (ViTAE-G, ensemble))
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 3DonCOCO test-dev
    AP75· 2019-01-01
    83.8
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 3DonCOCO test-dev
    APL· 2019-01-01
    81.5
    best: 86.5 (PoseBH-H)
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 3DonCOCO test-dev
    APM· 2019-01-01
    72.3
    best: 83.8 (4xRSN-50 (ensemble))
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 3DonCOCO test-dev
    AR· 2019-01-01
    81.6
    best: 88.2 (Simple Pose)
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 3DonCOCO test-dev
    AR75· 2019-01-01
    88.1
    best: 88.2 (Simple Base+*)
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 3DonCOCO test-dev
    ARL· 2019-01-01
    87.1
    best: 87.2 (Simple Base+*)
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148

Audio18 results

  • 1 Image, 2*2 StitchionCOCO minival
    AP· 2019-01-01
    75.9
    best: 79.1 (HRNet-W48plus)
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 1 Image, 2*2 StitchionCOCO test-dev
    AP· 2019-01-01
    76.1
    best: 81.1 (ViTPose (ViTAE-G, ensemble))
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 1 Image, 2*2 StitchionCOCO test-dev
    AP50· 2019-01-01
    93.4
    best: 95 (ViTPose (ViTAE-G, ensemble))
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 1 Image, 2*2 StitchionCOCO test-dev
    AR· 2019-01-01
    81.6
    best: 88.2 (Simple Pose)
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 1 Image, 2*2 StitchionMPII Human Pose
    PCKh-0.5· 2019-01-01
    92.6
    best: 94.3 (PCT (swin-l, test set))
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 1 Image, 2*2 StitchionCOCO test-dev
    AR50· 2019-01-01
    96.3
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 1 Image, 2*2 StitchionCOCO test-dev
    ARM· 2019-01-01
    77.5
    SOTA
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 1 Image, 2*2 StitchionCOCO test-dev
    AP75· 2019-01-01
    83.8
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 1 Image, 2*2 StitchionCOCO test-dev
    APL· 2019-01-01
    81.5
    best: 86.5 (PoseBH-H)
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 1 Image, 2*2 StitchionCOCO test-dev
    APM· 2019-01-01
    72.3
    best: 83.8 (4xRSN-50 (ensemble))
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 1 Image, 2*2 StitchionCOCO test-dev
    AP· 2019-01-01
    76.1
    best: 81.1 (ViTPose (ViTAE-G, ensemble))
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 1 Image, 2*2 StitchionCOCO test-dev
    AP50· 2019-01-01
    93.4
    best: 95 (ViTPose (ViTAE-G, ensemble))
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 1 Image, 2*2 StitchionCOCO test-dev
    AP75· 2019-01-01
    83.8
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 1 Image, 2*2 StitchionCOCO test-dev
    APL· 2019-01-01
    81.5
    best: 86.5 (PoseBH-H)
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 1 Image, 2*2 StitchionCOCO test-dev
    APM· 2019-01-01
    72.3
    best: 83.8 (4xRSN-50 (ensemble))
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 1 Image, 2*2 StitchionCOCO test-dev
    AR· 2019-01-01
    81.6
    best: 88.2 (Simple Pose)
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 1 Image, 2*2 StitchionCOCO test-dev
    AR75· 2019-01-01
    88.1
    best: 88.2 (Simple Base+*)
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148
  • 1 Image, 2*2 StitchionCOCO test-dev
    ARL· 2019-01-01
    87.1
    best: 87.2 (Simple Base+*)
    Rethinking on Multi-Stage Networks for Human Pose EstimationarXiv:1901.00148