Interactive attack-defense for generalized person re-identification
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Published:2024-08
Issue:
Volume:176
Page:106349
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ISSN:0893-6080
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Container-title:Neural Networks
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language:en
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Short-container-title:Neural Networks
Author:
Li Huafeng, Zhang Chen, Hu ZhanxuanORCID, Zhang Yafei, Yu Zhengtao
Reference67 articles.
1. Adversarial metric attack and defense for person re-identification;Bai;IEEE Transactions on Pattern Analysis and Machine Intelligence,2020 2. Chen, P., Dai, P., Liu, J., Zheng, F., Xu, M., Tian, Q., et al. (2021). Dual distribution alignment network for generalizable person re-identification. vol. 35, In Proceedings of the AAAI conference on artificial intelligence (pp. 1054–1062). 3. Choi, S., Kim, T., Jeong, M., Park, H., & Kim, C. (2021). Meta batch-instance normalization for generalizable person re-identification. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 3425–3435). 4. An image is worth 16x16 words: Transformers for image recognition at scale;Dosovitskiy,2020 5. Fu, D., Chen, D., Bao, J., Yang, H., Yuan, L., Zhang, L., et al. (2021). Unsupervised pre-training for person re-identification. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 14750–14759).
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