Person Re-identification with Hierarchical Deep Learning Feature and efficient XQDA Metric
Author:
Affiliation:
1. Army Engineering University of PLA & Jiangnan Institute of Computing Technology, Wuxi, China
2. Army Engineering University of PLA, Nanjing, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3240508.3240717
Reference78 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 (2018). Jon Almazan Bojana Gajic Naila Murray and Diane Larlus. 2018. Re-ID done right: towards good practices for person re-identification. arXiv (2018).
3. Xiang Bai Mingkung Yan Tengteng Huang Zhiyong Dou Rui Yu and Yongchao Xu. 2017. Deep-Person: Learning Discriminative Deep Features for Person Re-Identification. arXiv (2017). Xiang Bai Mingkung Yan Tengteng Huang Zhiyong Dou Rui Yu and Yongchao Xu. 2017. Deep-Person: Learning Discriminative Deep Features for Person Re-Identification. arXiv (2017).
4. Lin Chen Hua Yang Shuang Wu and Gao Zhiyong. 2017c. Data Generation for Improving Person Re-identification. In ACM Multimedia . 10.1145/3123266.3123302 Lin Chen Hua Yang Shuang Wu and Gao Zhiyong. 2017c. Data Generation for Improving Person Re-identification. In ACM Multimedia . 10.1145/3123266.3123302
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