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3D Human Pose Estimation on New Radar Dataset All participants (test)

6.425Overall MPJPERPP-Gauss.-Gauss.-Cov.
6.226287.567648.90910.25036Aug 5, 2025

Evaluation results

MethodLinks
RPP-Gauss.-Gauss.-Cov.Latent Prior=Gaussian, Log-likelihood=Gaussian, full covariance output=true2025.086.425
RPP-Gauss.-Gauss.Latent Prior=Gaussian, Log-likelihood=Gaussian2025.086.597
RPP-Laplace-Gauss.Latent Prior=Laplace, Log-likelihood=Gaussian2025.086.688
RPP-Normalizing-FlowsLatent Prior=Normalizing-Flows2025.087.022
RPP-Laplace-LaplaceLatent Prior=Laplace, Log-likelihood=Laplace2025.087.349
Ho et al.2025.087.402
RPP-Gauss.-LaplaceLatent Prior=Gaussian, Log-likelihood=Laplace2025.087.592
Engel et al.Pointcloud-based approach=true2025.087.946
Evidential Regression2025.0811.393