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Models/S-ViPNAS-HRNetW32

S-ViPNAS-HRNetW32

Reported on 18 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 Vision6 results

  • Pose EstimationonCOCO test-dev
    AP· 2021-05-21
    73.9
    best: 81.1 (ViTPose (ViTAE-G, ensemble))
    ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearcharXiv:2105.10154
  • Pose EstimationonCOCO test-dev
    AP50· 2021-05-21
    91.7
    best: 95 (ViTPose (ViTAE-G, ensemble))
    ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearcharXiv:2105.10154
  • Pose EstimationonCOCO test-dev
    AP75· 2021-05-21
    82
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearcharXiv:2105.10154
  • Pose EstimationonCOCO test-dev
    APL· 2021-05-21
    79.5
    best: 86.5 (PoseBH-H)
    ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearcharXiv:2105.10154
  • Pose EstimationonCOCO test-dev
    APM· 2021-05-21
    70.5
    best: 83.8 (4xRSN-50 (ensemble))
    ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearcharXiv:2105.10154
  • Pose EstimationonCOCO test-dev
    AR· 2021-05-21
    80.4
    best: 88.2 (Simple Pose)
    ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearcharXiv:2105.10154

Methodology6 results

  • 3DonCOCO test-dev
    AP· 2021-05-21
    73.9
    best: 81.1 (ViTPose (ViTAE-G, ensemble))
    ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearcharXiv:2105.10154
  • 3DonCOCO test-dev
    AP50· 2021-05-21
    91.7
    best: 95 (ViTPose (ViTAE-G, ensemble))
    ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearcharXiv:2105.10154
  • 3DonCOCO test-dev
    AP75· 2021-05-21
    82
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearcharXiv:2105.10154
  • 3DonCOCO test-dev
    APL· 2021-05-21
    79.5
    best: 86.5 (PoseBH-H)
    ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearcharXiv:2105.10154
  • 3DonCOCO test-dev
    APM· 2021-05-21
    70.5
    best: 83.8 (4xRSN-50 (ensemble))
    ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearcharXiv:2105.10154
  • 3DonCOCO test-dev
    AR· 2021-05-21
    80.4
    best: 88.2 (Simple Pose)
    ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearcharXiv:2105.10154

Audio6 results

  • 1 Image, 2*2 StitchionCOCO test-dev
    AP· 2021-05-21
    73.9
    best: 81.1 (ViTPose (ViTAE-G, ensemble))
    ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearcharXiv:2105.10154
  • 1 Image, 2*2 StitchionCOCO test-dev
    AP50· 2021-05-21
    91.7
    best: 95 (ViTPose (ViTAE-G, ensemble))
    ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearcharXiv:2105.10154
  • 1 Image, 2*2 StitchionCOCO test-dev
    AP75· 2021-05-21
    82
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearcharXiv:2105.10154
  • 1 Image, 2*2 StitchionCOCO test-dev
    APL· 2021-05-21
    79.5
    best: 86.5 (PoseBH-H)
    ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearcharXiv:2105.10154
  • 1 Image, 2*2 StitchionCOCO test-dev
    APM· 2021-05-21
    70.5
    best: 83.8 (4xRSN-50 (ensemble))
    ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearcharXiv:2105.10154
  • 1 Image, 2*2 StitchionCOCO test-dev
    AR· 2021-05-21
    80.4
    best: 88.2 (Simple Pose)
    ViPNAS: Efficient Video Pose Estimation via Neural Architecture SearcharXiv:2105.10154