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Research map / Graph learning / Knowledge and temporal graphs

Learning Hybrid Relationships for Person Re-identification

AAAI 2021 · Graph learning › Knowledge and temporal graphs · approach: Social and behavior graphs · 5 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add individual-image relationship learning (ablation)CNN with ResNet-50 · Market-1501mAP: 84.2 -> 89.0Helped
Replace the locally-connected graph with a fully-connected graph for individual relationship learning (ablation)CNN+IR · Market-1501mAP: 89.0 -> 86.9Hurt
Add the consistent node constraint (ablation)CNN+IR · Market-1501mAP: 89.0 -> 90.6Helped
Add pairwise-image relationship learning (ablation)CNN with ResNet-50 · Market-1501mAP: 84.2 -> 87.4Helped
Add inter-graph propagation (ablation)CNN+PR · Market-1501mAP: 87.4 -> 89.7Helped
Combine individual-image and pairwise-image relationship learning (ablation)HRNet · Market-1501mAP: 90.6 -> 91.3Helped
Use a locally-connected graph rather than a fully-connected graph for individual-image relationships (ablation)CNN+IR · DukeMTMC-reIDmAP: 76.9 -> 80.1Helped
Add the consistent node constraint (ablation)CNN+IR · DukeMTMC-reIDmAP: 80.1 -> 82.8Helped
Add inter-graph propagation (ablation)CNN+PR · DukeMTMC-reIDmAP: 78.1 -> 80.8Helped
Add the consistent node constraint (ablation)CNN+IR · CUHK03mAP: 73.7 -> 77.1Helped
Add inter-graph propagation (ablation)CNN+PR · CUHK03mAP: 71.9 -> 75.9Helped
Add the consistent node constraint (ablation)CNN+IR · MSMT17mAP: 57.1 -> 58.9Helped

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