Deep learning algorithms for person re-identification: sate-of-the-art and research challenges
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16286-w.pdf
Reference175 articles.
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3. Bai X, Yang M, Huang T, Dou Z, Yu R, Xu Y (2020) Deep-Person: Learning discriminative deep features for person Re-Identification. Pattern Recogn 98
4. Baltieri D, Vezzani R, Cucchiara R (2011) 3DPeS: 3D people dataset for surveillance and forensics. In: Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding, Scottsdale, Arizona, USA.
5. Bąk S, Carr P (2018) Deep deformable patch metric learning for person re-identification. IEEE Trans Circuits Syst Video Technol 28(10):2690–2702
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