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Deep learning-based person re-identification methods: A survey and outlook of recent works. (arXiv:2110.04764v5 [cs.CV] UPDATED)
Jan. 14, 2022, 2:10 a.m. | Zhangqiang Ming, Min Zhu, Xiangkun Wang, Jiamin Zhu, Junlong Cheng, Chengrui Gao, Yong Yang, Xiaoyong Wei
cs.CV updates on arXiv.org arxiv.org
In recent years, with the increasing demand for public safety and the rapid
development of intelligent surveillance networks, person re-identification
(Re-ID) has become one of the hot research topics in the computer vision field.
The main research goal of person Re-ID is to retrieve persons with the same
identity from different cameras. However, traditional person Re-ID methods
require manual marking of person targets, which consumes a lot of labor cost.
With the widespread application of deep neural networks, many deep …
arxiv cv deep learning identification learning person survey
More from arxiv.org / cs.CV updates on arXiv.org
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