Joint Cross-Consistency Learning and Multi-Feature Fusion for Person Re-Identification

To solve the problem of inadequate feature extraction by the model due to factors such as occlusion and illumination in person re-identification tasks, this paper proposed a model with a joint cross-consistency learning and multi-feature fusion person re-identification. The attention mechanism and t...

Descripción completa

Detalles Bibliográficos
Autores principales: Ren, Danping, He, Tingting, Dong, Huisheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735728/
https://www.ncbi.nlm.nih.gov/pubmed/36502088
http://dx.doi.org/10.3390/s22239387

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735728/
https://www.ncbi.nlm.nih.gov/pubmed/36502088
http://dx.doi.org/10.3390/s22239387

Ejemplares similares