LViT-Net: a domain generalization person re-identification model combining local semantics and multi-feature cross fusion

Abstract In the task of domain generalization person re-identification (ReID), pedestrian image features exhibit significant intra-class variability and inter-class similarity. Existing methods rely on a single feature extraction architecture and struggle to capture both global context and local spa...

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Autors principals:	Xintong Hu, Peishun Liu, Xuefang Wang, Peiyao Wu, Ruichun Tang
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2025-04-01
Col·lecció:	Visual Computing for Industry, Biomedicine, and Art
Matèries:	Domain generalization Person re-identification Feature fusion Semantic representation Dual-branch network architecture
Accés en línia:	https://doi.org/10.1186/s42492-025-00190-1
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