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Generalizable Person Re-identification

Generalizable person re-identification refers to methods trained on a source dataset but directly evaluated on a target dataset without domain adaptation or transfer learning.

Papers

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Showing 11–20 of 44 papers

TitleStatusHype
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identificationCode1
DomainMix: Learning Generalizable Person Re-Identification Without Human AnnotationsCode1
Dual Distribution Alignment Network for Generalizable Person Re-IdentificationCode1
Benchmarks for Corruption Invariant Person Re-identificationCode1
CLIP-DFGS: A Hard Sample Mining Method for CLIP in Generalizable Person Re-Identification—0
Generalizable Person Re-identification with Relevance-aware Mixture of Experts—0
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning—0
Augmented Hard Example Mining for Generalizable Person Re-Identification—0
Generalizable Re-Identification from Videos with Cycle Association—0
Domain-Class Correlation Decomposition for Generalizable Person Re-Identification—0
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