Pedestrian re-identification based on attention mechanism and Multi-scale feature fusion
Existing pedestrian re-identification models generally have low pedestrian retrieval accuracy when encountering factors such as changes in pedestrian posture and occlusion because the network cannot fully express pedestrian feature information. Therefore, this paper proposes a method to address this...
Main Authors: | Songlin Liu, Shouming Zhang, Zijian Diao, Zhenbin Fang, Zeyu Jiao, Zhenyu Zhong |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2023-08-01
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Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2023754?viewType=HTML |
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