Name
Title | ||
|---|---|---|
Learning comprehensive global features in person re-identification: Ensuring discriminativeness of more local regions |
Abstract | ||
|---|---|---|
•A novel baseline for person re-identification is proposed to learn comprehensive global embedding, ensuring that more local regions (the number of local regions is manually defined) of global feature maps are discriminative.•A Non-parameterized Local Classifier (NLC) module is designed to obtain a score vector of each local region on feature maps in a non-parametric manner.•A Comprehensive Global Embedding (CGE) module is designed to revise the global logits such that the subsequent cross entropy loss up-weights the loss assigned to samples with hard-to-learn local regions.•The network achieves 65.9% mAP, 85.1% rank1 on MSMT17, 86.4% mAP, 87.4% rank1 on CUHK03 labeled, 84.2% mAP, 85.9% rank1 on CUHK03 detected, and 92.2% mAP, 96.3% rank1 on Market-1501. |
Year | DOI | Venue |
|---|---|---|
2023 | 10.1016/j.patcog.2022.109068 | Pattern Recognition |
Keywords | DocType | Volume |
Person re-identification,Baseline,Comprehensive | Journal | 134 |
Issue | ISSN | Citations |
1 | 0031-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiali Xi | 1 | 0 | 1.01 |
| Jianqiang Huang | 2 | 55 | 19.18 |
| Shibao Zheng | 3 | 214 | 30.64 |
| Qin Zhou | 4 | 25 | 6.82 |
| Bernt Schiele | 5 | 12901 | 971.29 |
| Xian-Sheng Hua | 6 | 6566 | 328.17 |
| Sun Qianru | 7 | 227 | 19.41 |