Harmonious attention network for person re-identification via complementarity between groups and individuals

Author:

Chen Lin,Yang Hua,Xu Qiling,Gao Zhiyong

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference59 articles.

1. M. Ye, et al. Deep learning for person re-identification: A survey and outlook, arXiv preprint arXiv:2001.04193, 2020.

2. Person re-identification by video ranking;Wang,2014

3. An improved deep learning architecture for person re-identification;Ahmed,2015

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5. Fusion of multiple channel features for person re-identification[J];Wang;Neurocomputing,2016

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