Possibilistic rank-level fusion method for person re-identification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06502-9.pdf
Reference81 articles.
1. Gong S, Cristani M, Yan S, Loy CC (2014) Person re-identification. Springer, Berlin
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3. Huang Y, Zha Z-J, Fu X, Zhang W (2019) Illumination-invariant person re-identification. In: ACM international conference on multimedia, pp 365–373
4. Karanam S, Li Y, Radke RJ (2015) Person re-identification with discriminatively trained viewpoint invariant dictionaries. In: IEEE international conference on computer vision, pp 4516–4524
5. Huang H, Li D, Zhang Z, Chen X, Huang K (2018) Adversarially occluded samples for person re-identification. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 5098–5107
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