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Multi-Information Flow CNN and Attribute-Aided Reranking for Person Reidentification
This paper presents a multi-information flow convolutional neural network (MiF-CNN) model for person reidentification (re-id). It contains several specific multilayer convolutional structures, where the input and output of a convolutional layer are concatenated together on channel dimension. With th...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6381562/ https://www.ncbi.nlm.nih.gov/pubmed/30881442 http://dx.doi.org/10.1155/2019/7028107 |