DEW-YOLO: An Efficient Algorithm for Steel Surface Defect Detection

To address the current steel surface defect detection algorithms in practical applications involving low detection accuracy, an efficient and highly accurate strip steel surface defect detection algorithm, DEW-YOLO, is proposed in this paper. Firstly, by combining the advantages of deformable convol...

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Bibliografiska uppgifter

Huvudupphov:	Junjie Li, Mingxia Chen
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2024-06-01
Serie:	Applied Sciences
Ämnen:	steel surface defect detection YOLOv8 deformable convolution explicit visual center Wise-IoU
Länkar:	https://www.mdpi.com/2076-3417/14/12/5171
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