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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
Style Variable and Irrelevant Learning for Generalizable Person Re-identificationCode0
Style Interleaved Learning for Generalizable Person Re-identificationCode0
Towards Generalizable Person Re-identification with a Bi-stream Generative Model—0
Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-Identification—0
Generalizable Person Re-Identification via Self-Supervised Batch Norm Test-Time Adaption—0
Meta Distribution Alignment for Generalizable Person Re-IdentificationCode0
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification—0
Generalizable Person Re-identification Without Demographics—0
Domain-Class Correlation Decomposition for Generalizable Person Re-Identification—0
Generalizable Person Re-identification with Relevance-aware Mixture of Experts—0
Adaptive Domain-Specific Normalization for Generalizable Person Re-IdentificationCode0
Generalizable Multi-Camera 3D Pedestrian Detection—0
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-IdentificationCode0
Learning Domain Invariant Representations for Generalizable Person Re-Identification—0
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning—0
Augmented Hard Example Mining for Generalizable Person Re-Identification—0
Generalizable Person Re-Identification by Domain-Invariant Mapping Network—0
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal LiftingCode0
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