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3D Human Pose Estimation on HumanEva (test)

65.2MPJPE (mm)MRP-Net + ISO
64.45669.47874.579.522Mar 29, 2022

Evaluation results

MethodLinks
MRP-Net + ISOAdaptation type=Test-time Adaptation, Inference stage optimization=true2022.0365.250.1———————
MRP-NetAdaptation type=General Adaptation, Inference stage optimization=false2022.0366.851.9———————
Zhang et al.Adaptation type=General Adaptation, Inference stage optimization=false2022.0369.253.5———————
DANNAdaptation type=General Adaptation, Inference stage optimization=false2022.0376.360.8———————
DANAdaptation type=General Adaptation, Inference stage optimization=false2022.0378.562.7———————
DDCAdaptation type=General Adaptation, Inference stage optimization=false2022.0383.864.9———————
KTPFormerNumber of input frames (T)=432024.03——16.513.919.925.315.916.518
KTPFormerNumber of input frames (T)=272024.03——12.311.519.520.913.114.515.3
MixSTENumber of input frames (T)=432024.03——20.322.434.827.332.134.328.5
PoseFormerNumber of input frames (T)=432024.03——16.31147.12515.215.121.6
TCNNumber of input frames (T)=812024.03——13.110.139.820.713.915.618.9