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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 1–10 of 44 papers

TitleStatusHype
Following the Clues: Experiments on Person Re-ID using Cross-Modal IntelligenceCode0
Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-IdentificationCode0
CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-IdentificationCode0
Generalizable Person Re-identification via Balancing Alignment and UniformityCode1
ReMix: Training Generalized Person Re-identification on a Mixture of Data—0
CLIP-DFGS: A Hard Sample Mining Method for CLIP in Generalizable Person Re-Identification—0
Multiple Integration Model for Single-source Domain Generalizable Person Re-identification—0
Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identificationCode1
Part-Aware Transformer for Generalizable Person Re-identificationCode1
Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identificationCode0
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