Occluded person re-identification with deep learning: A survey and perspectives-Reference-Cited by-同舟云学术

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Occluded person re-identification with deep learning: A survey and perspectives

Published:2024-04 Issue: Volume:239 Page:122419
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Ning Enhao,Wang Changshuo^ORCID,Zhang Huang,Ning Xin^ORCID,Tiwari Prayag^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference118 articles.

1. A survey of approaches and trends in person re-identification;Bedagkar-Gala;Image and Vision Computing,2014

2. Cai, H., Wang, Z., & Cheng, J. (2019). Multi-scale body-part mask guided attention for person re-identification. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops.

3. Chen, J., Jiang, X., Wang, F., Zhang, J., Zheng, F., Sun, X., et al. (2021). Learning 3D shape feature for texture-insensitive person re-identification. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 8146–8155).

4. Chen, P., Liu, W., Dai, P., Liu, J., Ye, Q., Xu, M., et al. (2021). Occlude them all: Occlusion-aware attention network for occluded person re-id. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 11833–11842).

5. Custom pictorial structures for re-identification;Cheng,2011

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