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Direct Multi-view Multi-person 3D Pose Estimation

NeurIPS 2021 · 3D vision › Human pose estimation · approach: Multi-person pose estimation · 82 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use direct multi-view pose regression rather than VoxelPose's pipelineMvP · PanopticAP25: 84.0 -> 92.3Helped
use direct multi-view pose regression rather than VoxelPose's pipelineMvP · Panopticinference time (ms): 320 -> 170Helped
add RayConv camera-ray geometry encoding (ablation)MvP · PanopticAP25: 87.5 -> 92.3Helped
add RayConv camera-ray geometry encoding (ablation)MvP · PanopticMPJPE: 17.4 -> 15.8Helped
use hierarchical person-and-joint queries instead of independent per-joint queries (ablation)MvP · PanopticAP25: 67.4 -> 82.5Helped
use hierarchical person-and-joint queries instead of independent per-joint queries (ablation)MvP · PanopticMPJPE: 41.2 -> 19.5Helped
add input-dependent query adaptation to hierarchical queries (ablation)MvP · PanopticAP25: 82.5 -> 92.3Helped
add input-dependent query adaptation to hierarchical queries (ablation)MvP · PanopticMPJPE: 19.5 -> 15.8Helped
raise confidence threshold from 0.0 to 0.4 (ablation)MvP · PanopticAP25: 93.1 -> 89.2Hurt
raise confidence threshold from 0.0 to 0.4 (ablation)MvP · PanopticMPJPE: 16.3 -> 15.0Helped
increase decoder layers from 2 to 6 (ablation)MvP · PanopticAP25: 6.3 -> 92.3Helped
increase decoder layers from 2 to 6 (ablation)MvP · PanopticMPJPE: 49.6 -> 15.8Helped

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