Multi-feature balanced network for clothes-changing person re-identification
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Published:2025-10
Issue:
Volume:190
Page:107617
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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:
Mei Mengqing, Ye Chun, Ye ZhiweiORCID, Liu Fangyi, Ye Mang, Yan LingYuORCID, Mei Liye, Chen Ziyuan
Reference54 articles.
1. Bansal, V., Foresti, G. L., & Martinel, N. (2022). Cloth-changing person re-identification with self-attention. In Proceedings of the IEEE/CVF winter conference on applications of computer vision (pp. 602–610). 2. Chen, J., Jiang, X., Wang, F., Zhang, J., Zheng, F., Sun, X., et al. (2021). Learning 3D shape feature for texture-insensitive person re-identification. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 8146–8155). 3. DCR-ReID: Deep component reconstruction for cloth-changing person re-identification;Cui;IEEE Transactions on Circuits and Systems for Video Technology,2023 4. An adaptive self-correction joint training framework for person re-identification with noisy labels;Fu;Expert Systems with Applications,2024 5. Gao, S., Wang, J., Lu, H., & Liu, Z. (2020). Pose-guided visible part matching for occluded person reid. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 11744–11752).
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