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Models/Single-Shot Multi-Person

Single-Shot Multi-Person

Reported on 18 benchmarks across 6 tasks · 1 paper · 6 SOTA

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

Computer Vision10 results

  • 3D Multi-Person Pose Estimation (root-relative)onMuPoTS-3D
    3DPCK· 2017-12-09
    65
    best: 89.6 (TDBU_Net)
    SOTA
    Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBarXiv:1712.03453
  • 3D Human Pose EstimationonMuPoTS-3D
    3DPCK· 2017-12-09
    65
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    SOTA
    Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBarXiv:1712.03453
  • Pose EstimationonMuPoTS-3D
    3DPCK· 2017-12-09
    65
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    SOTA
    Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBarXiv:1712.03453
  • 3D Multi-Person Pose EstimationonMuPoTS-3D
    3DPCK· 2017-12-09
    65
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    SOTA
    Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBarXiv:1712.03453
  • 3D Human Pose EstimationonMPI-INF-3DHP
    AUC· 2017-12-09
    37.8
    best: 87.7 (TCPFormer (T=81))
    Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBarXiv:1712.03453
  • 3D Human Pose EstimationonMPI-INF-3DHP
    MPJPE· 2017-12-09
    122.2
    best: 124.7 (VNect (Augm.))
    Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBarXiv:1712.03453
  • 3D Human Pose EstimationonMPI-INF-3DHP
    PCK· 2017-12-09
    75.2
    best: 99.37 (LMT R152 384x384)
    Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBarXiv:1712.03453
  • Pose EstimationonMPI-INF-3DHP
    AUC· 2017-12-09
    37.8
    best: 87.7 (TCPFormer (T=81))
    Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBarXiv:1712.03453
  • Pose EstimationonMPI-INF-3DHP
    MPJPE· 2017-12-09
    122.2
    best: 124.7 (VNect (Augm.))
    Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBarXiv:1712.03453
  • Pose EstimationonMPI-INF-3DHP
    PCK· 2017-12-09
    75.2
    best: 99.37 (LMT R152 384x384)
    Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBarXiv:1712.03453

Methodology4 results

  • 3DonMuPoTS-3D
    3DPCK· 2017-12-09
    65
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    SOTA
    Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBarXiv:1712.03453
  • 3DonMPI-INF-3DHP
    AUC· 2017-12-09
    37.8
    best: 87.7 (TCPFormer (T=81))
    Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBarXiv:1712.03453
  • 3DonMPI-INF-3DHP
    MPJPE· 2017-12-09
    122.2
    best: 124.7 (VNect (Augm.))
    Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBarXiv:1712.03453
  • 3DonMPI-INF-3DHP
    PCK· 2017-12-09
    75.2
    best: 99.37 (LMT R152 384x384)
    Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBarXiv:1712.03453

Audio4 results

  • 1 Image, 2*2 StitchionMuPoTS-3D
    3DPCK· 2017-12-09
    65
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    SOTA
    Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBarXiv:1712.03453
  • 1 Image, 2*2 StitchionMPI-INF-3DHP
    AUC· 2017-12-09
    37.8
    best: 87.7 (TCPFormer (T=81))
    Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBarXiv:1712.03453
  • 1 Image, 2*2 StitchionMPI-INF-3DHP
    MPJPE· 2017-12-09
    122.2
    best: 124.7 (VNect (Augm.))
    Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBarXiv:1712.03453
  • 1 Image, 2*2 StitchionMPI-INF-3DHP
    PCK· 2017-12-09
    75.2
    best: 99.37 (LMT R152 384x384)
    Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBarXiv:1712.03453