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COCAS: A Large-Scale Clothes Changing Person Dataset for Re-Identification

CVPR 2020 · Label-efficient and robust learning › Recognition and long-tail · approach: Supervised person re-identification · 106 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add the clothes feature branch to the biometric feature branch (ablation)BC-Net · COCAS testmAP: 12.2 -> 46.8Helped
Add the biometric feature branch to the clothes feature branch (ablation)BC-Net · COCAS testmAP: 28.7 -> 46.8Helped
Add the biometric-feature identification loss (ablation)BC-Net · COCAS testmAP: 32.7 -> 46.8Helped
Add triplet loss (ablation)BC-Net · COCAS testmAP: 42.8 -> 46.8Helped
Add the biometric-feature mask module (ablation)BC-Net · COCAS testmAP: 43.6 -> 46.8Helped
Add the clothes detector for target images (ablation)BC-Net · COCAS testmAP: 39.5 -> 46.8Helped
Use raw rather than desensitized images (ablation)BC-Net · COCAS testmAP: 46.8 -> 52.8; 54.8 -> 63.7; 57.2 -> 65.1; 68.5 -> 75.4Helped
Use XQDA instead of Euclidean distanceBC-Net (desensitized) · COCAS testmAP: 46.8 -> 57.2Helped
Apply re-ranking with Euclidean distanceBC-Net (desensitized) · COCAS testmAP: 46.8 -> 54.8Helped
Combine XQDA with re-rankingBC-Net (desensitized) · COCAS testmAP: 46.8 -> 68.5Helped
Train using provided clothes templates for queriesBC-Net · COCAS testmAP: +37.6% mAPHelped

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