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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 11–20 of 44 papers

TitleStatusHype
Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identificationCode1
DomainMix: Learning Generalizable Person Re-Identification Without Human AnnotationsCode1
Dual Distribution Alignment Network for Generalizable Person Re-IdentificationCode1
Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identificationCode1
Following the Clues: Experiments on Person Re-ID using Cross-Modal IntelligenceCode0
CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-IdentificationCode0
Meta Distribution Alignment for Generalizable Person Re-IdentificationCode0
Deep Multimodal Fusion for Generalizable Person Re-identificationCode0
Is Synthetic Dataset Reliable for Benchmarking Generalizable Person Re-Identification?Code0
Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identificationCode0
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