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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 31–40 of 44 papers

TitleStatusHype
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification—0
Towards Generalizable Person Re-identification with a Bi-stream Generative Model—0
Adaptive Domain-Specific Normalization for Generalizable Person Re-IdentificationCode0
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-IdentificationCode0
Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-IdentificationCode0
Following the Clues: Experiments on Person Re-ID using Cross-Modal IntelligenceCode0
Style Interleaved Learning for Generalizable Person Re-identificationCode0
Deep Multimodal Fusion for Generalizable Person Re-identificationCode0
Style Variable and Irrelevant Learning for Generalizable Person Re-identificationCode0
CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-IdentificationCode0
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