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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 26–44 of 44 papers

TitleStatusHype
Generalizable Person Re-Identification by Domain-Invariant Mapping Network—0
Generalizable Person Re-Identification via Self-Supervised Batch Norm Test-Time Adaption—0
Generalizable Person Re-Identification via Viewpoint Alignment and Fusion—0
Generalizable Person Re-identification with Relevance-aware Mixture of Experts—0
Generalizable Re-Identification from Videos with Cycle Association—0
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification—0
Multiple Integration Model for Single-source Domain Generalizable Person Re-identification—0
ReMix: Training Generalized Person Re-identification on a Mixture of Data—0
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification—0
Towards Generalizable Person Re-identification with a Bi-stream Generative Model—0
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
Meta Distribution Alignment for Generalizable Person Re-IdentificationCode0
Adaptive Domain-Specific Normalization for Generalizable Person Re-IdentificationCode0
Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identificationCode0
Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-IdentificationCode0
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