Discriminative feature extraction for video person re-identification via multi-task network

Author:

Song WanruORCID,Zheng Jieying,Wu Yahong,Chen Changhong,Liu Feng

Funder

National Natural Science Foundation of China

Priority Academic Program Development of Jiangsu Higher Education Institutions

Postgraduate Research & Practice Innovation Program of Jiangsu Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference55 articles.

1. Bai X, Yang M, Huang T, Dou Z, Yu R, Xu Y (2017) Deep-person: Learning discriminative deep features for person re-identification. arXiv:1711.10658

2. Chen G, Lu J, Yang M, Zhou J (2019) Spatial-temporal attention-aware learning for video-based person re-identification. IEEE Trans Image Process, pp 1–1

3. Chen S, Guo C, Lai J (2016) Deep ranking for person re-identification via joint representation learning. IEEE Trans Image Process 25(5):2353–2367

4. Chen Y, Duffner S, Stoian A, Dufour JY, Baskurt A (2018) Deep and low-level feature based attribute learning for person re-identification. Image Vis Comput 79:25–34

5. Chen YC, Zheng WS, Lai J (2015) Mirror representation for modeling view-specific transform in person re-identification. In: Proceedings of the 24th International Conference on Artificial Intelligence, IJCAI’15, pp 3402–3408

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