Learning Discriminative Features with Multiple Granularities for Person Re-Identification
Author:
Affiliation:
1. Shanghai Jiao Tong University, Shanghai, China
2. CloudWalk Technology, Shanghai, China
3. Shanghai Jiao Tong University & CloudWalk Technology, Shanghai, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3240508.3240552
Reference50 articles.
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2. Jon Almazan Bojana Gajic Naila Murray and Diane Larlus. 2018. Re-ID done right: towards good practices for person re-identification. arXiv preprint arXiv:1801.05339 (2018). Jon Almazan Bojana Gajic Naila Murray and Diane Larlus. 2018. Re-ID done right: towards good practices for person re-identification. arXiv preprint arXiv:1801.05339 (2018).
3. Xiang Bai Mingkun Yang Tengteng Huang Zhiyong Dou Rui Yu and Yongchao Xu. 2017. Deep-Person: Learning Discriminative Deep Features for Person Re-Identification. arXiv preprint arXiv:1711.10658 (2017). Xiang Bai Mingkun Yang Tengteng Huang Zhiyong Dou Rui Yu and Yongchao Xu. 2017. Deep-Person: Learning Discriminative Deep Features for Person Re-Identification. arXiv preprint arXiv:1711.10658 (2017).
4. Xiaobin Chang Timothy M. Hospedales and Tao Xiang. 2018. Multi-Level Factorisation Net for Person Re-Identification. In CVPR. 2109--2118. Xiaobin Chang Timothy M. Hospedales and Tao Xiang. 2018. Multi-Level Factorisation Net for Person Re-Identification. In CVPR. 2109--2118.
5. Dapeng Chen Dan Xu Hongsheng Li Nicu Sebe and Xiaogang Wang. 2018. Group Consistent Similarity Learning via Deep CRF for Person Re-Identification. In CVPR. 8649--8658. Dapeng Chen Dan Xu Hongsheng Li Nicu Sebe and Xiaogang Wang. 2018. Group Consistent Similarity Learning via Deep CRF for Person Re-Identification. In CVPR. 8649--8658.
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