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Models/SelecSLS

SelecSLS

Reported on 13 benchmarks across 5 tasks · 1 paper · 5 SOTA

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

Computer Vision7 results

  • 3D Human Pose EstimationonMuPoTS-3D
    3DPCK· 2019-07-01
    75.8
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    SOTA
    XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB CameraarXiv:1907.00837
  • Pose EstimationonMuPoTS-3D
    3DPCK· 2019-07-01
    75.8
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    SOTA
    XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB CameraarXiv:1907.00837
  • 3D Multi-Person Pose EstimationonMuPoTS-3D
    3DPCK· 2019-07-01
    75.8
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    SOTA
    XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB CameraarXiv:1907.00837
  • 3D Human Pose EstimationonHuman3.6M
    Average MPJPE (mm)· 2019-07-01
    63.6
    best: 131.7 (Rhodin et al.)
    XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB CameraarXiv:1907.00837
  • 3D Human Pose EstimationonHuman3.6M
    Frames Needed· 2019-07-01
    1
    best: 300 (Sparseness Meets Deepness)
    XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB CameraarXiv:1907.00837
  • Pose EstimationonHuman3.6M
    Average MPJPE (mm)· 2019-07-01
    63.6
    best: 131.7 (Rhodin et al.)
    XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB CameraarXiv:1907.00837
  • Pose EstimationonHuman3.6M
    Frames Needed· 2019-07-01
    1
    best: 300 (Sparseness Meets Deepness)
    XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB CameraarXiv:1907.00837

Methodology3 results

  • 3DonMuPoTS-3D
    3DPCK· 2019-07-01
    75.8
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    SOTA
    XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB CameraarXiv:1907.00837
  • 3DonHuman3.6M
    Average MPJPE (mm)· 2019-07-01
    63.6
    best: 131.7 (Rhodin et al.)
    XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB CameraarXiv:1907.00837
  • 3DonHuman3.6M
    Frames Needed· 2019-07-01
    1
    best: 300 (Sparseness Meets Deepness)
    XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB CameraarXiv:1907.00837

Audio3 results

  • 1 Image, 2*2 StitchionMuPoTS-3D
    3DPCK· 2019-07-01
    75.8
    best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
    SOTA
    XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB CameraarXiv:1907.00837
  • 1 Image, 2*2 StitchionHuman3.6M
    Average MPJPE (mm)· 2019-07-01
    63.6
    best: 131.7 (Rhodin et al.)
    XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB CameraarXiv:1907.00837
  • 1 Image, 2*2 StitchionHuman3.6M
    Frames Needed· 2019-07-01
    1
    best: 300 (Sparseness Meets Deepness)
    XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB CameraarXiv:1907.00837