An unsupervised person re‐identification approach based on cross‐view distribution alignment
Abstract Unsupervised clustering is a kind of popular solution for unsupervised person re‐identification (re‐ID). However, due to the influence of cross‐view differences, the results of clustering labels are not accurate. To solve this problem, an unsupervised re ID method based on cross‐view distri...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-09-01
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| Series: | IET Image Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ipr2.12256 |