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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |