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Research map / Label-efficient and robust learning / Recognition and long-tail

Learning Deep Context-Aware Features Over Body and Latent Parts for Person Re-Identification

CVPR 2017 · Label-efficient and robust learning › Recognition and long-tail · approach: Cross-modality and occlusion re-identification · 704 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Fuse full-body and body-part representations instead of using either representation aloneMSCAN ReID · Market1501, single queryRank-1: +4.86Helped
Increase the number of dilation ratios from one to three (ablation)MSCAN body representation · Market1501, single queryRank-1: 65.38 -> 75.45Helped
Increase the number of dilation ratios from three to four (ablation)MSCAN body representation · Market1501, single queryRank-1: 75.45 -> 76.25Helped
Replace rigid predefined parts with learned latent parts (ablation)Part-based ReID · Market1501, single queryRank-1: 3.27%Helped
Add localization loss L_loc to the part localization network (ablation)MSCAN part-based network · Market1501, single queryRank-1: 9.03%Helped
Fuse full-body and body-part representations rather than use the body representation aloneMSCAN ReID · CUHK03 labeledRank-1Helped
Fuse full-body and body-part representations rather than use the body representation aloneMSCAN ReID · MARS, single query, XQDARank-1: 6.47%Helped

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