Detection of Battery Appearance Defects Based on Multi‑Scale Object Detection

Detection of Battery Appearance Defects Based on Multi‑Scale Object Detection

[Purposes] Based on YOLO v4 framework, a new feature extraction network VoVNet-A algorithm was designed, which can effectively identify image fine-grained features. [Methods] With the proposed algorthm, acts of improved attention module CSAM on aggregated features, distinguishes of the importance of...

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Bibliographic Details
Main Authors: LI Yang, ZHANG Jianliang, ZHAO Min, WU Jian, HAN Chao, DANG Xiaoyan, WANG Huifang
Format: Article
Language:English
Published: Editorial Office of Journal of Taiyuan University of Technology 2025-05-01
Series:Taiyuan Ligong Daxue xuebao
Subjects:
battery faults
defects detection
deep learning
yolo v4
vovnet
Online Access:https://tyutjournal.tyut.edu.cn/englishpaper/show-2416.html
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