Title | ||
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Discriminative representation learning for person re-identification via multi-loss training. |
Abstract | ||
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•The parametric center loss is extended into its non-parametric version.•A novel loss function is presented to further enlarge inter-class distance.•Multiple loss functions are combined to boost the performance of person re-id. |
Year | DOI | Venue |
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2019 | 10.1016/j.jvcir.2019.06.001 | Journal of Visual Communication and Image Representation |
Keywords | Field | DocType |
Person re-identification,Multi-loss training,Inter-center loss | Softmax function,Pattern recognition,Popularity,Implementation,Artificial intelligence,Discriminative model,Feature learning,Mathematics | Journal |
Volume | ISSN | Citations |
62 | 1047-3203 | 2 |
PageRank | References | Authors |
0.38 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Weilin Zhong | 1 | 8 | 2.90 |
Tao Zhang | 2 | 13 | 5.62 |
Linfeng Jiang | 3 | 6 | 3.18 |
Jinsheng Ji | 4 | 3 | 1.07 |
Zenghui Zhang | 5 | 50 | 10.29 |
Huilin Xiong | 6 | 358 | 21.58 |