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ResearchFormerly WizWand

3D Human Pose Estimation on Radar Dataset Participant P2 (test)

5.384P-MPJPE (0°)Engel et al.
5.090087.074049.05811.04196Aug 5, 2025
Updated 5mo ago

Evaluation results

MethodLinks
Engel et al.Input Modality=Pointcloud-based2025.085.3844.6385.7975.273
RPP-Gauss.-Gauss.-Cov.Latent Prior=Gauss., Log-likelihood=Gauss., Covariance Type=Full covariance2025.085.5164.1284.7974.813
Ho et al.2025.086.0484.545.4275.339
RPP-Laplace-Gauss.Latent Prior=Laplace, Log-likelihood=Gauss.2025.086.054.255.3775.226
RPP-Gauss.-Gauss.Latent Prior=Gauss., Log-likelihood=Gauss.2025.086.3894.6085.4235.473
RPP-Normalizing-FlowsLatent Prior=Normalizing-Flows2025.087.0285.5036.0826.204
RPP-Gauss.-Gauss.-Cov.Latent Prior=Gaussian, Log-likelihood=Gaussian, full covariance output=true2025.087.2285.8496.3076.461
RPP-Laplace-LaplaceLatent Prior=Laplace, Log-likelihood=Laplace2025.087.3965.1525.9386.162
RPP-Normalizing-FlowsLatent Prior=Normalizing-Flows2025.087.6326.0856.9416.886
RPP-Laplace-Gauss.Latent Prior=Laplace, Log-likelihood=Gaussian2025.087.6415.9756.5686.728
RPP-Gauss.-LaplaceLatent Prior=Gauss., Log-likelihood=Laplace2025.087.955.686.1866.605
RPP-Gauss.-Gauss.Latent Prior=Gaussian, Log-likelihood=Gaussian2025.088.0285.716.0016.58
Engel et al.Pointcloud-based approach=true2025.088.3186.8297.5037.609
Ho et al.2025.088.76.2086.5447.151
RPP-Laplace-LaplaceLatent Prior=Laplace, Log-likelihood=Laplace2025.089.0616.6656.9497.558
RPP-Gauss.-LaplaceLatent Prior=Gaussian, Log-likelihood=Laplace2025.089.4917.0157.1637.89
Evidential Regression2025.0812.1311.71812.11811.989
Evidential Regression2025.0812.73211.39611.56211.897