Mutual Learning Person Search Based on Region Alignment
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9243-0_35
Reference14 articles.
1. Xiao, T., Li, S., Wang, B., et al.: Joint detection and identification feature learning for person search. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition vol. 34, pp. 15–3424 (2017)
2. Yan, Y., Li, J., Qin, J., et al.: Anchor-free person search. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp. 7690–7699 (2021)
3. Li, Y., Yin, G., Liu, C., Yang, X., Wang, Z.: Triplet online instance matching loss for person re-identification. Neurocomputing 433, 10–18 (2021)
4. Li, Y., Yin, K., Liang, J., et al.: A multitask joint framework for real-time person search. Multimedia Syst. 29(1), 211–222 (2023)
5. Lan, X., Zhu, X., Gong, S.: Person search by multi-scale matching. In: Proceedings of the European conference on computer vision (ECCV), pp. 536–552 (2018)
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