Name
Abstract | ||
|---|---|---|
Person re-identification (ReID) aims to identify a person of interest across surveillance cameras. Although supervised ReID methods have made a great success, most of them suffer a large drop in performance on unseen domains. The key idea to solve this problem lies in the distribution alignment of pedestrian images. In this paper, we design a generalizable person ReID framework which is trained on... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICMEW53276.2021.9455980 | 2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) |
Keywords | DocType | ISSN |
Training,Surveillance,Conferences,Benchmark testing,Feature extraction,Cameras | Conference | 2330-7927 |
ISBN | Citations | PageRank |
978-1-6654-4989-2 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chengzhang Zhu | 1 | 0 | 0.34 |
| Zhe Chang | 2 | 0 | 0.34 |
| Yalong Xiao | 3 | 0 | 0.34 |
| Beiji Zou | 4 | 231 | 41.61 |
| Bozhou Li | 5 | 0 | 0.34 |
| Shu Liu | 6 | 0 | 1.01 |