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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 21–30 of 44 papers

TitleStatusHype
Style Variable and Irrelevant Learning for Generalizable Person Re-identificationCode0
Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-IdentificationCode0
Deep Multimodal Fusion for Generalizable Person Re-identificationCode0
Learning Domain Invariant Representations for Generalizable Person Re-Identification—0
Augmented Hard Example Mining for Generalizable Person Re-Identification—0
CLIP-DFGS: A Hard Sample Mining Method for CLIP in Generalizable Person Re-Identification—0
Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-Identification—0
Domain-Class Correlation Decomposition for Generalizable Person Re-Identification—0
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning—0
Generalizable Multi-Camera 3D Pedestrian Detection—0
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