Feiz et al. (Kinematics)

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 EstimationonShelf
PCP3D· 2025-04-11
98.6
best: 100 (RapidPoseTriangulation (with corrected labels))
Multi-person Physics-based Pose Estimation for Combat Sports arXiv:2504.08175
Pose EstimationonShelf
PCP3D· 2025-04-11
98.6
best: 100 (RapidPoseTriangulation (with corrected labels))
Multi-person Physics-based Pose Estimation for Combat Sports arXiv:2504.08175
3D Multi-Person Pose EstimationonShelf
PCP3D· 2025-04-11
98.6
best: 100 (RapidPoseTriangulation (with corrected labels))
Multi-person Physics-based Pose Estimation for Combat Sports arXiv:2504.08175

Methodology1 result

3DonShelf
PCP3D· 2025-04-11
98.6
best: 100 (RapidPoseTriangulation (with corrected labels))
Multi-person Physics-based Pose Estimation for Combat Sports arXiv:2504.08175

Audio1 result

1 Image, 2*2 StitchionShelf
PCP3D· 2025-04-11
98.6
best: 100 (RapidPoseTriangulation (with corrected labels))
Multi-person Physics-based Pose Estimation for Combat Sports arXiv:2504.08175