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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
CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-IdentificationCode0
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-IdentificationCode0
Is Synthetic Dataset Reliable for Benchmarking Generalizable Person Re-Identification?Code0
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
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