Learning Frequency-Based Disentanglement and Filtering for Generalizable Person Re-identification
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8555-5_38
Reference29 articles.
1. Bai, Y., et al.: Person30k: a dual-meta generalization network for person re-identification. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 2123–2132 (2021)
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3. Chen, P., et al.: Dual distribution alignment network for generalizable person re-identification. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, pp. 1054–1062 (2021)
4. Choi, S., Kim, T., Jeong, M., Park, H., Kim, C.: 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 (2021)
5. Dai, Y., Li, X., Liu, J., Tong, Z., Duan, L.Y.: Generalizable person re-identification with relevance-aware mixture of experts. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 16145–16154 (2021)
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