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Models/Mehta

Mehta

Reported on 15 benchmarks across 4 tasks · 1 paper · 15 SOTA

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

Computer Vision11 results

  • 3D Human Pose EstimationonMPI-INF-3DHP
    MPJPE· 2016-11-29
    117.6
    best: 124.7 (VNect (Augm.))
    SOTA
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • 3D Human Pose EstimationonMPI-INF-3DHP
    PCK· 2016-11-29
    75.7
    best: 99.37 (LMT R152 384x384)
    SOTA
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • 3D Human Pose EstimationonMPI-INF-3DHP
    AUC· 2016-11-29
    40.8
    best: 87.7 (TCPFormer (T=81))
    SOTA
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • Pose EstimationonLeeds Sports Poses
    PCK· 2016-11-29
    75.7
    best: 83.6 (Trajectory Space Factorization (F=25))
    SOTA
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • Pose EstimationonMPI-INF-3DHP
    MPJPE· 2016-11-29
    117.6
    best: 124.7 (VNect (Augm.))
    SOTA
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • Pose EstimationonMPI-INF-3DHP
    PCK· 2016-11-29
    75.7
    best: 99.37 (LMT R152 384x384)
    SOTA
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • Pose EstimationonMPI-INF-3DHP
    AUC· 2016-11-29
    40.8
    best: 87.7 (TCPFormer (T=81))
    SOTA
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • 3D Human Pose EstimationonMPI-INF-3DHP
    AUC· 2016-11-29
    39.3
    best: 87.7 (TCPFormer (T=81))
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • 3D Human Pose EstimationonMPI-INF-3DHP
    PCK· 2016-11-29
    64.7
    best: 99.37 (LMT R152 384x384)
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • Pose EstimationonMPI-INF-3DHP
    AUC· 2016-11-29
    39.3
    best: 87.7 (TCPFormer (T=81))
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • Pose EstimationonMPI-INF-3DHP
    PCK· 2016-11-29
    64.7
    best: 99.37 (LMT R152 384x384)
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813

Methodology6 results

  • 3DonLeeds Sports Poses
    PCK· 2016-11-29
    75.7
    best: 83.6 (Trajectory Space Factorization (F=25))
    SOTA
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • 3DonMPI-INF-3DHP
    MPJPE· 2016-11-29
    117.6
    best: 124.7 (VNect (Augm.))
    SOTA
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • 3DonMPI-INF-3DHP
    PCK· 2016-11-29
    75.7
    best: 99.37 (LMT R152 384x384)
    SOTA
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • 3DonMPI-INF-3DHP
    AUC· 2016-11-29
    40.8
    best: 87.7 (TCPFormer (T=81))
    SOTA
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • 3DonMPI-INF-3DHP
    AUC· 2016-11-29
    39.3
    best: 87.7 (TCPFormer (T=81))
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • 3DonMPI-INF-3DHP
    PCK· 2016-11-29
    64.7
    best: 99.37 (LMT R152 384x384)
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813

Audio6 results

  • 1 Image, 2*2 StitchionLeeds Sports Poses
    PCK· 2016-11-29
    75.7
    best: 83.6 (Trajectory Space Factorization (F=25))
    SOTA
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • 1 Image, 2*2 StitchionMPI-INF-3DHP
    MPJPE· 2016-11-29
    117.6
    best: 124.7 (VNect (Augm.))
    SOTA
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • 1 Image, 2*2 StitchionMPI-INF-3DHP
    PCK· 2016-11-29
    75.7
    best: 99.37 (LMT R152 384x384)
    SOTA
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • 1 Image, 2*2 StitchionMPI-INF-3DHP
    AUC· 2016-11-29
    40.8
    best: 87.7 (TCPFormer (T=81))
    SOTA
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • 1 Image, 2*2 StitchionMPI-INF-3DHP
    AUC· 2016-11-29
    39.3
    best: 87.7 (TCPFormer (T=81))
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813
  • 1 Image, 2*2 StitchionMPI-INF-3DHP
    PCK· 2016-11-29
    64.7
    best: 99.37 (LMT R152 384x384)
    Monocular 3D Human Pose Estimation In The Wild Using Improved CNN SupervisionarXiv:1611.09813