Multiscale Local and Global Feature Fusion for the Detection of Steel Surface Defects

Multiscale Local and Global Feature Fusion for the Detection of Steel Surface Defects

Steel surface defects have a significant impact on the quality and performance of many industrial products and cause huge economic losses. Therefore, it is meaningful to detect steel surface defects in real time. To improve the detection performance of steel surface defects with variable scales and...

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Bibliographic Details
Main Authors:	Li Zhang, Zhipeng Fu, Huaping Guo, Yange Sun, Xirui Li, Mingliang Xu
Format:	Article
Language:	English
Published:	MDPI AG 2023-07-01
Series:	Electronics
Subjects:	self-attention surface defect detection convolutional neural network multiscale feature fusion
Online Access:	https://www.mdpi.com/2079-9292/12/14/3090

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