Exploring Camera Style Adaptation for Person Re-identification Using MobileNetV3 Networks

Weiyi Wang

doi:10.47297/taposatWSP2633-456924.20250601

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Exploring Camera Style Adaptation for Person Re-identification Using MobileNetV3 Networks

6卷第1期

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Exploring Camera Style Adaptation for Person Re-identification Using MobileNetV3 Networks
Exploring Camera Style Adaptation for Person Re-identification Using MobileNetV3 Networks
Physics and Electronic Information Department, YanTai University, Yantai, Shandong, 264005, China
2025年6卷第1期页码：126-132
纸质出版日期：2025-01-21
DOI：10.47297/taposatWSP2633-456924.20250601
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(2025). Exploring Camera Style Adaptation for Person Re-identification Using MobileNetV3 Networks. 科技理论与实践（英文版）, 6(1), 126-132.

Wang Weiyi.Exploring Camera Style Adaptation for Person Re-identification Using MobileNetV3 Networks[J].Theory and Practice of Science and Technology,2025,06(01):126-132.
(2025). Exploring Camera Style Adaptation for Person Re-identification Using MobileNetV3 Networks. 科技理论与实践（英文版）, 6(1), 126-132. DOI： 10.47297/taposatWSP2633-456924.20250601.

Wang Weiyi.Exploring Camera Style Adaptation for Person Re-identification Using MobileNetV3 Networks[J].Theory and Practice of Science and Technology,2025,06(01):126-132. DOI： 10.47297/taposatWSP2633-456924.20250601.

摘要

Abstract

In response to the problem that the large number of ResNet50 parameters in the re-ID program for camera style adaptation based on GANs is not suitable for environments with low power consumption and small hardware size

I modified the backbone of the target program using MobileNetV3

and finally achieved a significant reduction in computing speed and number of parameters at the cost of a small loss of accuracy

and in the process I found that the pre-trained network provided by Torchvision has some problems in the actual replacement of the backbone.

关键词

Keywords

references

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