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3D Multi-Person Pose Estimation on MuPoTS-3D All people

44.2PCK (Absolute)PLIKS
14.24822.02429.837.576Aug 26, 2020Jan 9, 2021May 25, 2021Oct 8, 2021Feb 21, 2022Jul 7, 2022Nov 21, 2022

Evaluation results

MethodLinks
PLIKS2022.1144.2——
Permutation-Invariant Relational NetworkDatasets training=MuPots Cross Validation2022.0444.185.846.1
VirtualPose2022.0744——
VirtualPose2022.1144——
HMORDatasets training=MuCo + COCO +2022.0443.88243.5
HMOR2022.0743.8——
Guo et al.2022.0739.2——
Sarandi et al.2022.0738.4——
Vages et al.2022.0737.3——
OursApproach Type=Bottom-up, Synthetic Training=true2022.0736.579.4—
OursApproach Type=Bottom-up2022.0735.876.9—
SMAPApproach=bottom-up2020.0835.473.5—
SMAPDatasets training=MuCo + COCO2022.0435.473.5—
SMAP2022.0735.4——
SMAPApproach Type=Bottom-up2022.0735.473.5—
MoonApproach=top-down2020.0831.581.8—
RootNet2022.0731.5——
Moon et al.Approach Type=Top-down2022.0731.581.8—
Rootnet2022.1131.5——
RootNetDatasets training=MuCo + COCO2022.0431.481.239.5
OursApproach Type=Bottom-up, Synthetic Training=true2022.0725.553.7—
OursApproach Type=Bottom-up2022.0724.352.6—
SMAPApproach Type=Bottom-up2022.0723.949.1—
Moon et al.Approach Type=Top-down2022.0715.445.8—
DabralApproach=top-down2020.08—71.3—
MehtaApproach=bottom-up2020.08—65—
MehtaApproach=bottom-up2020.08—70.4—
PI-NetDatasets training=MuCo2022.04—82.5—
PI-Net (fine-tuned)Datasets training=MuPots Cross Validation2022.04—82.843.9
RogezApproach=top-down2020.08—53.8—
RogezApproach=top-down2020.08—70.6—