Fully Unsupervised Person Re-Identification via Multiple Pseudo Labels Joint Training
Person re-identification (re-ID) is the task of finding the matched person in a non-overlapping and multi-camera system. Because annotating images across multiple cameras is difficult and time-consuming, this paper focuses on fully unsupervised learning person re-ID that can learn person re-ID on un...
| Main Authors: | , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
IEEE
2021-01-01
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| 叢編: | IEEE Access |
| 主題: | |
| 在線閱讀: | https://ieeexplore.ieee.org/document/9645557/ |