List your company
ResearchFormerly WizWand

3D Human Pose Estimation on Radar Dataset Participant P12 (test)

5.122P-MPJPE (0°)Engel et al.
4.7867.0549.32211.59Aug 5, 2025
Updated 5mo ago

Evaluation results

MethodLinks
Engel et al.Input Modality=Pointcloud-based2025.085.1224.1325.1564.803
RPP-Gauss.-Gauss.-Cov.Latent Prior=Gauss., Log-likelihood=Gauss., Covariance Type=Full covariance2025.085.3633.7384.6544.585
RPP-Laplace-Gauss.Latent Prior=Laplace, Log-likelihood=Gauss.2025.085.7723.984.8654.872
Ho et al.2025.085.9394.2495.0975.095
RPP-Gauss.-Gauss.Latent Prior=Gauss., Log-likelihood=Gauss.2025.085.9393.9484.94.929
RPP-Normalizing-FlowsLatent Prior=Normalizing-Flows2025.086.2644.3635.3685.665
RPP-Laplace-LaplaceLatent Prior=Laplace, Log-likelihood=Laplace2025.086.6014.3744.875.282
RPP-Gauss.-LaplaceLatent Prior=Gauss., Log-likelihood=Laplace2025.086.9274.6925.2385.619
RPP-Normalizing-FlowsLatent Prior=Normalizing-Flows2025.087.4175.7886.6396.947
RPP-Laplace-Gauss.Latent Prior=Laplace, Log-likelihood=Gaussian2025.089.0635.2025.7636.676
RPP-Gauss.-Gauss.-Cov.Latent Prior=Gaussian, Log-likelihood=Gaussian, full covariance output=true2025.089.3694.9225.6356.642
RPP-Gauss.-Gauss.Latent Prior=Gaussian, Log-likelihood=Gaussian2025.089.975.5565.5817.036
RPP-Laplace-LaplaceLatent Prior=Laplace, Log-likelihood=Laplace2025.089.9885.5915.6837.087
Evidential Regression2025.0810.4179.3469.9899.917
RPP-Gauss.-LaplaceLatent Prior=Gaussian, Log-likelihood=Laplace2025.0810.7775.8136.0077.532
Ho et al.2025.0810.8816.4766.4817.946
Engel et al.Pointcloud-based approach=true2025.0811.5276.1086.7338.186
Evidential Regression2025.0813.5229.6329.92311.026