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Person re-identification (re-ID) and attribute recognition share a common target at learning pedestrian descriptions.
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J. Wang, X. Zhu, S. Gong, W. Li, Transferable joint attribute-identity deep learning for unsupervised person re-identification, in: The IEEE Conference on Computer Vision and Pattern Recognition, 2018
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M. Tian, S. Yi, H. Li, S. Li, X. Zhang, J. Shi, J. Yan, X. Wang, Eliminating background-bias for robust person re-identification, in: The IEEE Conference on Computer Vision and Pattern Recognition, 2018
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Y. Lin, X. Dong, L. Zheng, Y. Yan, Y. Yang, A bottom-up clustering approach to unsupervised person re-identification, in: AAAI Conference on Artificial Intelligence, 2019
2019
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