Multi‐scale feature fusion network for person re‐identification-Reference-Cited by-同舟云学术

Multi‐scale feature fusion network for person re‐identification

Published:2020-12 Issue:17 Volume:14 Page:4614-4620
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Wang Yongjie¹²,Zhang Wei¹,Liu Yanyan³

Affiliation:

1. School of MicroelectronicsTianjin UniversityTianjin300072People's Republic of China

2. The 54th Research Institute of China Electronics Technology Group CorporationShijiazhuang050081People's Republic of China

3. Key Laboratory of Photoelectronic Thin Film Devices and Technology of TianjinNankai UniversityTianjin300071People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2020.0008

Reference48 articles.

1. Gait recognition for person re‐identification;Elharrouss O.;J. Supercomput.,2020

2. HermansA. BeyerL. LeibeB.: ‘In defense of the triplet loss for person re‐identification’. Available at:https://arxiv.org/abs/1703.07737 accessed 22 March 2017

3. ChenW. ChenX. ZhangJ.et al.: ‘Beyond triplet loss: a deep quadruplet network for person re‐identification’. Available at:https://arxiv.org/abs/1704.01719 accessed 6 April 2017

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