HG-RCNN

Reported on 5 benchmarks across 5 tasks · 1 paper

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

Computer Vision3 results

3D Human Pose EstimationonMuPoTS-3D
3DPCK· 2019-09-24
74.2
best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
Multi-Person 3D Human Pose Estimation from Monocular Images arXiv:1909.10854
Pose EstimationonMuPoTS-3D
3DPCK· 2019-09-24
74.2
best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
Multi-Person 3D Human Pose Estimation from Monocular Images arXiv:1909.10854
3D Multi-Person Pose EstimationonMuPoTS-3D
3DPCK· 2019-09-24
74.2
best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
Multi-Person 3D Human Pose Estimation from Monocular Images arXiv:1909.10854

3DonMuPoTS-3D
3DPCK· 2019-09-24
74.2
best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
Multi-Person 3D Human Pose Estimation from Monocular Images arXiv:1909.10854

1 Image, 2*2 StitchionMuPoTS-3D
3DPCK· 2019-09-24
74.2
best: 89.9 (Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement)
Multi-Person 3D Human Pose Estimation from Monocular Images arXiv:1909.10854