Abstract | ||
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•A novel two-stream channel-exchanged network named CENet is proposed for person re-identification.•The CENet can extract color-robust features to alleviate the interference of color in person re-identification.•A data augmentation method is introduced to person re-identification for increasing the training set.•An improved multi-layer structure is applied for further enhancing the Re-ID accuracy. |
Year | DOI | Venue |
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2021 | 10.1016/j.ins.2021.03.028 | Information Sciences |
Keywords | DocType | Volume |
Person re-identification,Feature representation,Color-robust,Multi-layer learning,Multi-task learning | Journal | 562 |
ISSN | Citations | PageRank |
0020-0255 | 0 | 0.34 |
References | Authors | |
0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jianchen Wang | 1 | 0 | 0.34 |
Liming Yuan | 2 | 4 | 3.09 |
Haixia Xu | 3 | 0 | 3.04 |
Gengsheng Xie | 4 | 0 | 0.34 |
Xian-Bin Wen | 5 | 55 | 16.67 |