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3D Human Pose Estimation on Shelf (test)

99.8Actor 1 ScoreMulti-person Physics-based Pose Estimation Framework
64.75273.85182.9592.049Apr 13, 2020Feb 11, 2021Dec 12, 2021Oct 12, 2022Aug 12, 2023Jun 11, 2024Apr 11, 2025

Evaluation results

MethodLinks
Multi-person Physics-based Pose Estimation Frameworkstage=Triangulation2025.0499.897.9———————95.498.6————
Multi-person Physics-based Pose Estimation Frameworkstage=Kinematics2025.0499.898.6———————97.698.6————
Tanke et al.2021.0699.8————————9098———95.9
Bridgeman et al.2021.0699.7————————92.897.7———96.7
Chen et al.2021.0699.6————————93.297.5———96.8
Yang et al.2025.0499.597.7———————9697.7————
Tu et al.2025.0499.397———————94.197.6————
Lin and Lee2025.0499.397.9———————96.598————
VoxelPose2020.0499.3————————94.197.6———97
Tu et al.2021.0699.3————————94.197.6———97
Proposed Method (Part-aware Measurement & Joints Filter)2021.0699.14————————95.4197.64———97.39
Zhang et al.2021.0699————————96.297.6———97.6
Multi-person Physics-based Pose Estimation Frameworkstage=Dynamics2025.0498.998.3———————97.998.2————
Dong et al.2025.0498.896.9———————94.197.8————
Huang et al.2025.0498.897.4———————96.297.2————
Dong et al. [4]2020.0498.8————————94.197.8———96.9
Dong et al.2021.0698.8————————94.197.8———96.9
Wang et al.2025.0498.296.6———————94.197.4————
Ershadi-Nasab et al.2025.0493.388———————75.994.8————
Ershadi-Nasab et al. [40]2020.0493.3————————75.994.8———88
Ershadi-N et al.2021.0693.3————————75.994.8———88
Belagiannis et al.2025.0475.377.5———————69.787.6————
Belagiannis et al. [1]2020.0475.3————————69.787.6———77.5
Belagiannis et al.2021.0675.3————————69.787.6———77.5
Belagiannis et al. [3]2020.0475————————6786———76
Belagiannis et al.2025.0466.171.4———————6583.2————
Belagiannis et al. [2]2020.0466.1————————6583.2———71.4
Dong et al.Venue=CVPR 19, Fine-tuning protocol=w/o fine-tuning, Training Dataset=CMU Panoptic (CMU0)2025.08—96.9—————————98.894.197.8—
Faster-VoxelPoseFPS=17.62025.03—99.188.310059.899.410050.766——————
Faster-VoxelPosetraining_data=synthetic, FPS=17.42025.03—9987.910058.89910048.867.7——————
MV-SSMVenue=Ours, Fine-tuning protocol=w/o fine-tuning, Training Dataset=CMU Panoptic (CMU0)2025.08—88—————————89.985.288.9—
mv3dposeFPS=1.62025.03—97.191.498.455.894.898.544.371.2——————
MVGFormerVenue=CVPR 24, Fine-tuning protocol=w/o fine-tuning, Training Dataset=CMU Panoptic (CMU0)2025.08—87.9—————————89.985.488.6—
MvPtraining_data=synthetic, FPS=8.52025.03—98.694.199.751.897.110082.230.2——————
MvPVenue=NeurIPS 21, Fine-tuning protocol=w/o fine-tuning, Training Dataset=CMU Panoptic (CMU0)2025.08—8.7—————————5.7164.6—
RapidPoseTriangulationFPS=66.62025.03—99.294.410047.598.710041.374——————
Voxel KeypointFusionFPS=5.82025.03—98.893.310051.398.310049.167.4——————
VoxelPoseVenue=ECCV 20, Fine-tuning protocol=w/o fine-tuning, Training Dataset=CMU Panoptic (CMU0)2025.08—69.8—————————77.963.268.1—