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Models/Yu et al.

Yu et al.

Reported on 18 benchmarks across 9 tasks · 2 papers · 6 SOTA

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

Computer Vision12 results

  • VideoonBDD100K test
    mIDF1· 2018-05-12
    44.7
    best: 60 (SUSHI)
    SOTA
    BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningarXiv:1805.04687
  • VideoonBDD100K test
    mMOTA· 2018-05-12
    26.3
    best: 42.8 (ContrasTR)
    SOTA
    BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningarXiv:1805.04687
  • Object TrackingonBDD100K test
    mIDF1· 2018-05-12
    44.7
    best: 60 (SUSHI)
    SOTA
    BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningarXiv:1805.04687
  • Object TrackingonBDD100K test
    mMOTA· 2018-05-12
    26.3
    best: 42.8 (ContrasTR)
    SOTA
    BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningarXiv:1805.04687
  • Multiple Object TrackingonBDD100K test
    mIDF1· 2018-05-12
    44.7
    best: 60 (SUSHI)
    SOTA
    BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningarXiv:1805.04687
  • Multiple Object TrackingonBDD100K test
    mMOTA· 2018-05-12
    26.3
    best: 42.8 (ContrasTR)
    SOTA
    BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningarXiv:1805.04687
  • HandonHO-3D v3
    PA-MPJPE· 2022-11-24
    10.8
    best: 11.5 (S2HAND)
    UV-Based 3D Hand-Object Reconstruction with Grasp OptimizationarXiv:2211.13429
  • HandonHO-3D v3
    PA-MPVPE· 2022-11-24
    10.4
    best: 11.1 (S2HAND)
    UV-Based 3D Hand-Object Reconstruction with Grasp OptimizationarXiv:2211.13429
  • Pose EstimationonHO-3D v3
    PA-MPJPE· 2022-11-24
    10.8
    best: 11.5 (S2HAND)
    UV-Based 3D Hand-Object Reconstruction with Grasp OptimizationarXiv:2211.13429
  • Pose EstimationonHO-3D v3
    PA-MPVPE· 2022-11-24
    10.4
    best: 11.1 (S2HAND)
    UV-Based 3D Hand-Object Reconstruction with Grasp OptimizationarXiv:2211.13429
  • 3D Hand Pose EstimationonHO-3D v3
    PA-MPJPE· 2022-11-24
    10.8
    best: 11.5 (S2HAND)
    UV-Based 3D Hand-Object Reconstruction with Grasp OptimizationarXiv:2211.13429
  • 3D Hand Pose EstimationonHO-3D v3
    PA-MPVPE· 2022-11-24
    10.4
    best: 11.1 (S2HAND)
    UV-Based 3D Hand-Object Reconstruction with Grasp OptimizationarXiv:2211.13429

Graphs2 results

  • Hand Pose EstimationonHO-3D v3
    PA-MPJPE· 2022-11-24
    10.8
    best: 11.5 (S2HAND)
    UV-Based 3D Hand-Object Reconstruction with Grasp OptimizationarXiv:2211.13429
  • Hand Pose EstimationonHO-3D v3
    PA-MPVPE· 2022-11-24
    10.4
    best: 11.1 (S2HAND)
    UV-Based 3D Hand-Object Reconstruction with Grasp OptimizationarXiv:2211.13429

Methodology2 results

  • 3DonHO-3D v3
    PA-MPJPE· 2022-11-24
    10.8
    best: 11.5 (S2HAND)
    UV-Based 3D Hand-Object Reconstruction with Grasp OptimizationarXiv:2211.13429
  • 3DonHO-3D v3
    PA-MPVPE· 2022-11-24
    10.4
    best: 11.1 (S2HAND)
    UV-Based 3D Hand-Object Reconstruction with Grasp OptimizationarXiv:2211.13429

Audio2 results

  • 1 Image, 2*2 StitchionHO-3D v3
    PA-MPJPE· 2022-11-24
    10.8
    best: 11.5 (S2HAND)
    UV-Based 3D Hand-Object Reconstruction with Grasp OptimizationarXiv:2211.13429
  • 1 Image, 2*2 StitchionHO-3D v3
    PA-MPVPE· 2022-11-24
    10.4
    best: 11.1 (S2HAND)
    UV-Based 3D Hand-Object Reconstruction with Grasp OptimizationarXiv:2211.13429