3D Human Pose Estimation on New Radar Dataset All participants (test)
6.425Overall MPJPERPP-Gauss.-Gauss.-Cov.
Evaluation Results
| Method | Links | |
|---|---|---|
| RPP-Gauss.-Gauss.-Cov.Latent Prior=Gaussian, Log-likelihood=Gaussian, full covariance output=true2025.08 | 6.425 | |
| RPP-Gauss.-Gauss.Latent Prior=Gaussian, Log-likelihood=Gaussian2025.08 | 6.597 | |
| RPP-Laplace-Gauss.Latent Prior=Laplace, Log-likelihood=Gaussian2025.08 | 6.688 | |
| RPP-Normalizing-FlowsLatent Prior=Normalizing-Flows2025.08 | 7.022 | |
| RPP-Laplace-LaplaceLatent Prior=Laplace, Log-likelihood=Laplace2025.08 | 7.349 | |
| Ho et al.2025.08 | 7.402 | |
| RPP-Gauss.-LaplaceLatent Prior=Gaussian, Log-likelihood=Laplace2025.08 | 7.592 | |
| Engel et al.Pointcloud-based approach=true2025.08 | 7.946 | |
| Evidential Regression2025.08 | 11.393 |