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Models/RTMPose(RTMPose-l, GT bounding boxes)

RTMPose(RTMPose-l, GT bounding boxes)

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 EstimationonOCHuman
    Test AP· uses extra data· 2023-03-13
    80.3
    best: 93.3 (ViTPose (ViTAE-G, GT bounding boxes))
    RTMPose: Real-Time Multi-Person Pose Estimation based on MMPosearXiv:2303.07399
  • Pose EstimationonOCHuman
    Validation AP· uses extra data· 2023-03-13
    80.5
    best: 92.8 (ViTPose (ViTAE-G, GT bounding boxes))
    RTMPose: Real-Time Multi-Person Pose Estimation based on MMPosearXiv:2303.07399

Methodology2 results

  • 3DonOCHuman
    Test AP· uses extra data· 2023-03-13
    80.3
    best: 93.3 (ViTPose (ViTAE-G, GT bounding boxes))
    RTMPose: Real-Time Multi-Person Pose Estimation based on MMPosearXiv:2303.07399
  • 3DonOCHuman
    Validation AP· uses extra data· 2023-03-13
    80.5
    best: 92.8 (ViTPose (ViTAE-G, GT bounding boxes))
    RTMPose: Real-Time Multi-Person Pose Estimation based on MMPosearXiv:2303.07399

Audio2 results

  • 1 Image, 2*2 StitchionOCHuman
    Test AP· uses extra data· 2023-03-13
    80.3
    best: 93.3 (ViTPose (ViTAE-G, GT bounding boxes))
    RTMPose: Real-Time Multi-Person Pose Estimation based on MMPosearXiv:2303.07399
  • 1 Image, 2*2 StitchionOCHuman
    Validation AP· uses extra data· 2023-03-13
    80.5
    best: 92.8 (ViTPose (ViTAE-G, GT bounding boxes))
    RTMPose: Real-Time Multi-Person Pose Estimation based on MMPosearXiv:2303.07399