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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
Benchmarks for Corruption Invariant Person Re-identificationCode1
Generalizable Person Re-identification Without Demographics—0
Semi-Supervised Domain Generalizable Person Re-IdentificationCode2
Domain-Class Correlation Decomposition for Generalizable Person Re-Identification—0
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identificationCode1
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
Meta Batch-Instance Normalization for Generalizable Person Re-IdentificationCode1
DomainMix: Learning Generalizable Person Re-Identification Without Human AnnotationsCode1
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning—0
Dual Distribution Alignment Network for Generalizable Person Re-IdentificationCode1
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-IdentificationCode1
Style Normalization and Restitution for Generalizable Person Re-identificationCode1
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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