Person Re-identification Method Based on Dual Feature Attention Backbone Network
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5597-4_41
Reference29 articles.
1. Lecture Notes in Computer Science;K Zhu,2020
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3. Hou, R., Ma, B., Chang, H., Gu, X., Shan, S., Chen, X.: Vrstc: occlusion-free video person re-identification. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 7183–7192 (2019)
4. Shi, Y., Ling, H., Wu, L., et al.: Attribute disentanglement and registration for occluded person re-identification. Neurocomputing 470, 226–235 (2022)
5. Luo, H., Jiang, W., Gu, Y., et al.: A strong baseline and batch normalization neck for deep person re-identification. IEEE Trans. Multimedia 22(10), 2597–2609 (2019)
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