Name
Abstract | ||
|---|---|---|
•Propose a relationship learning framework with a global view of relations.•A global correlative module is proposed to compactly represent the relations.•Achieves state-of-the-art performance on multiple datasets without re-ranking. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.neucom.2021.10.055 | Neurocomputing |
Keywords | DocType | Volume |
Person re-identification,Global correlative,Relation knowledge,Local features | Journal | 469 |
ISSN | Citations | PageRank |
0925-2312 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gengsheng Xie | 1 | 0 | 0.34 |
| Xianbin Wen | 2 | 0 | 0.34 |
| Liming Yuan | 3 | 0 | 2.70 |
| Haixia Xu | 4 | 0 | 3.04 |
| Zhanlu Liu | 5 | 0 | 0.34 |