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Models/HUND (FS+SS)

HUND (FS+SS)

Reported on 8 benchmarks across 4 tasks · 1 paper

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

Computer Vision4 results

  • 3D Human Pose Estimationon3DPW
    MPJPE· 2020-08-16
    81.4
    best: 130 (HMR)
    Neural Descent for Visual 3D Human Pose and ShapearXiv:2008.06910
  • 3D Human Pose Estimationon3DPW
    PA-MPJPE· 2020-08-16
    57.5
    best: 157 (Simple-baseline)
    Neural Descent for Visual 3D Human Pose and ShapearXiv:2008.06910
  • Pose Estimationon3DPW
    MPJPE· 2020-08-16
    81.4
    best: 130 (HMR)
    Neural Descent for Visual 3D Human Pose and ShapearXiv:2008.06910
  • Pose Estimationon3DPW
    PA-MPJPE· 2020-08-16
    57.5
    best: 157 (Simple-baseline)
    Neural Descent for Visual 3D Human Pose and ShapearXiv:2008.06910

Methodology2 results

  • 3Don3DPW
    MPJPE· 2020-08-16
    81.4
    best: 130 (HMR)
    Neural Descent for Visual 3D Human Pose and ShapearXiv:2008.06910
  • 3Don3DPW
    PA-MPJPE· 2020-08-16
    57.5
    best: 157 (Simple-baseline)
    Neural Descent for Visual 3D Human Pose and ShapearXiv:2008.06910

Audio2 results

  • 1 Image, 2*2 Stitchion3DPW
    MPJPE· 2020-08-16
    81.4
    best: 130 (HMR)
    Neural Descent for Visual 3D Human Pose and ShapearXiv:2008.06910
  • 1 Image, 2*2 Stitchion3DPW
    PA-MPJPE· 2020-08-16
    57.5
    best: 157 (Simple-baseline)
    Neural Descent for Visual 3D Human Pose and ShapearXiv:2008.06910