Pedestrian re-identification based on attention mechanism and Multi-scale feature fusion

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...

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Bibliographic Details
Main Authors: Songlin Liu, Shouming Zhang, Zijian Diao, Zhenbin Fang, Zeyu Jiao, Zhenyu Zhong
Format: Article
Language:English
Published: AIMS Press 2023-08-01
Series:Mathematical Biosciences and Engineering
Subjects:
deep learning
pedestrian re-identification
cross attention
multi-scale features fusion
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023754?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023754?viewType=HTML

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