Graph-structure based multi-label prediction and classification for unsupervised person re-identification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03163-6.pdf
Reference49 articles.
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3. Pal S K, Pramanik A, Maiti J, Mitra P (2021) Deep learning in multi-object detection and tracking: state of the art. Appl Intell 51(9):6400–6429. https://doi.org/10.1007/s10489-021-02293-7
4. Yan H, Ding Y, Li P, Wang Q, Xu Y, Zuo W (2017) Mind the class weight bias: Weighted maximum mean discrepancy for unsupervised domain adaptation. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
5. Fan H, Zheng L, Yan C, Yang Y (2018) Unsupervised person re-identification: Clustering and fine-tuning. ACM Trans Multimed Comput Commun Appl (TOMM) 14(4):83
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Graph based Spatial-temporal Fusion for Multi-modal Person Re-identification;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26
2. Confidence-adapted meta-interaction for unsupervised person re-identification;Applied Intelligence;2023-08-09
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