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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
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
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
Generalizable Person Re-identification Without Demographics—0
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
Adaptive Cross-Domain 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
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