Steel surface defect detection based on MobileViTv2 and YOLOv8

To address the issue of low detection accuracy of steel surface defects due to complex texture background interference and complex defect morphology, this paper proposes an improved YOLOv8 model based on MobileViTv2 and Cross-Local Connection for steel surface defect detection. Firstly, the lightwei...

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Veröffentlicht in:	The Journal of supercomputing 2024, Vol.80 (13), p.18919-18941
Hauptverfasser:	Lv, Zhongliang, Zhao, Zhiqiang, Xia, Kewen, Gu, Guojun, Liu, Kang, Chen, Xuanlin
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Compilers Computer Science Feature extraction Interpreters Object recognition Processor Architectures Programming Languages Surface defects Surface layers Texture
Online-Zugang:	Volltext
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