TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/FastMETRO-L

FastMETRO-L

Reported on 28 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 Vision14 results

  • 3D Human Pose EstimationonEMDB
    Average MPJAE (deg)· 2022-07-27
    25.07
    best: 28.4555 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • 3D Human Pose EstimationonEMDB
    Average MPJAE-PA (deg)· 2022-07-27
    22.9482
    best: 25.7033 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • 3D Human Pose EstimationonEMDB
    Average MPJPE (mm)· 2022-07-27
    115.036
    best: 131.065 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • 3D Human Pose EstimationonEMDB
    Average MPJPE-PA (mm)· 2022-07-27
    72.6765
    best: 82.8502 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • 3D Human Pose EstimationonEMDB
    Average MVE (mm)· 2022-07-27
    133.566
    best: 159.956 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • 3D Human Pose EstimationonEMDB
    Average MVE-PA (mm)· 2022-07-27
    86.0043
    best: 98.1305 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • 3D Human Pose EstimationonEMDB
    Jitter (10m/s^3)· 2022-07-27
    81.2959
    best: 185.933 (FastMETRO-L no SMPL Head)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • Pose EstimationonEMDB
    Average MPJAE (deg)· 2022-07-27
    25.07
    best: 28.4555 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • Pose EstimationonEMDB
    Average MPJAE-PA (deg)· 2022-07-27
    22.9482
    best: 25.7033 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • Pose EstimationonEMDB
    Average MPJPE (mm)· 2022-07-27
    115.036
    best: 131.065 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • Pose EstimationonEMDB
    Average MPJPE-PA (mm)· 2022-07-27
    72.6765
    best: 82.8502 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • Pose EstimationonEMDB
    Average MVE (mm)· 2022-07-27
    133.566
    best: 159.956 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • Pose EstimationonEMDB
    Average MVE-PA (mm)· 2022-07-27
    86.0043
    best: 98.1305 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • Pose EstimationonEMDB
    Jitter (10m/s^3)· 2022-07-27
    81.2959
    best: 185.933 (FastMETRO-L no SMPL Head)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820

Methodology7 results

  • 3DonEMDB
    Average MPJAE (deg)· 2022-07-27
    25.07
    best: 28.4555 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • 3DonEMDB
    Average MPJAE-PA (deg)· 2022-07-27
    22.9482
    best: 25.7033 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • 3DonEMDB
    Average MPJPE (mm)· 2022-07-27
    115.036
    best: 131.065 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • 3DonEMDB
    Average MPJPE-PA (mm)· 2022-07-27
    72.6765
    best: 82.8502 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • 3DonEMDB
    Average MVE (mm)· 2022-07-27
    133.566
    best: 159.956 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • 3DonEMDB
    Average MVE-PA (mm)· 2022-07-27
    86.0043
    best: 98.1305 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • 3DonEMDB
    Jitter (10m/s^3)· 2022-07-27
    81.2959
    best: 185.933 (FastMETRO-L no SMPL Head)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820

Audio7 results

  • 1 Image, 2*2 StitchionEMDB
    Average MPJAE (deg)· 2022-07-27
    25.07
    best: 28.4555 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • 1 Image, 2*2 StitchionEMDB
    Average MPJAE-PA (deg)· 2022-07-27
    22.9482
    best: 25.7033 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • 1 Image, 2*2 StitchionEMDB
    Average MPJPE (mm)· 2022-07-27
    115.036
    best: 131.065 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • 1 Image, 2*2 StitchionEMDB
    Average MPJPE-PA (mm)· 2022-07-27
    72.6765
    best: 82.8502 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • 1 Image, 2*2 StitchionEMDB
    Average MVE (mm)· 2022-07-27
    133.566
    best: 159.956 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • 1 Image, 2*2 StitchionEMDB
    Average MVE-PA (mm)· 2022-07-27
    86.0043
    best: 98.1305 (PyMAF)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820
  • 1 Image, 2*2 StitchionEMDB
    Jitter (10m/s^3)· 2022-07-27
    81.2959
    best: 185.933 (FastMETRO-L no SMPL Head)
    Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersarXiv:2207.13820