Pedestrian re‐identification based on attribute mining and reasoning-Reference-Cited by-同舟云学术

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Pedestrian re‐identification based on attribute mining and reasoning

Published:2021-04-26 Issue:11 Volume:15 Page:2399-2411
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Li Chao¹^ORCID,Yang Xiaoyu¹^ORCID,Yin Kangning¹^ORCID,Chang Yifan¹^ORCID,Wang Zhiguo¹^ORCID,Yin Guangqiang¹^ORCID

Affiliation:

1. Center for Public Security Technology University of Electronic Science and Technology of China Gaoxin West District Chengdu 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/ipr2.12225

Reference42 articles.

1. Li W. et al.:DeepReID: Deep filter pairing neural network for person re‐identification. In:2014 IEEE Conference on Computer Vision and Pattern Recognition Columbus OH 2014 pp.152–159

2. Cheng D. et al.:Person re‐identification by multi‐channel parts‐based CNN with improved triplet loss function. In:2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Las Vegas NV 2016 pp.1335–1344

3. Leveraging local neighborhood topology for large scale person re-identification

4. Lin J. et al.:Consistent‐aware deep learning for person Re‐identification in a Camera Network. In:2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Honolulu HI 2017 pp.3396–3405

5. Kipf T. Welling M.:Semi‐Supervised Classification with Graph Convolutional Networks.Presented at ICLR 2017

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1. Pedestrian Target Recognition Algorithm in Public Places Based on Representation Learning and Similarity Learning;The International Arab Journal of Information Technology;2024

2. Research on Quick Compliance Audit Technology for Information Operation and Maintenance Maintenance Process Scenarios Based on Artificial Intelligence Recognition;Proceedings of the 2023 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum;2023-09-22

3. AFMTD: Anchor-free Frame for Multi-scale Target Detection;2022 7th International Conference on Communication, Image and Signal Processing (CCISP);2022-11

4. Survey for person re-identification based on coarse-to-fine feature learning;Multimedia Tools and Applications;2022-03-17

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