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Keypoint Message Passing for Video-Based Person Re-identification

AAAI 2022 · Video › Video segmentation and tracking · approach: Spatial-temporal video person re-identification · 17 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add spatial graph connections during training (ablation)PCB baseline · MARStop-1: 85.3 -> 88.6Helped
add temporal graph connections during training (ablation)PCB baseline · MARStop-1: 85.3 -> 88.7Helped
add both spatial and temporal graph connections (ablation)PCB baseline · MARSmAP: 84.6 -> 86.5Helped
add both spatial and temporal graph connections (ablation)PCB baseline · PoseTrackReIDtop-1: 77.9 -> 79.2Helped
train longer without graphical-branch assistance (ablation)PCB baseline · MARStop-1: 85.3 -> 84.7Hurt
include head keypoints in the graph (ablation)KMPNet (PCB) · MARStop-1: 89.7 -> 88.2Hurt
include head keypoints in the graph (ablation)KMPNet (PCB) · PoseTrackReIDmAP: 82.7 -> 82.7No clear effect
use graphical-branch embedding instead of CNN embedding (ablation)KMPNet (PCB) · MARStop-1: 89.7 -> 61.7Hurt
use graphical-branch embedding instead of CNN embedding (ablation)KMPNet (PCB) · MARSmAP: 86.5 -> 57.3Hurt
apply keypoint message passing to MGHMGH · MARStop-1: +2.0 pp.Helped
apply keypoint message passing to MGHMGH · MARSmAP: +0.8 pp.Helped

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