CNN-ViT fusion with feature enhancement for defect detection of diamond tool segments

Existing deep learning-based industrial defect detection methods primarily focus on workpieces with regular textures and uniform imaging conditions, while insufficient attention has been paid to highly reflective alloy components with complex surface reflections and textural interference. Owing to t...

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Autori principali:	ZHAO Nannan, ZHAO Wenlong, ZHANG Haigang, KUANG Guowen, HE Yulin
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Science Press (China Science Publishing & Media Ltd.) 2026-03-01
Serie:	Shenzhen Daxue xuebao. Ligong ban
Soggetti:	computer vision industrial defect detection convolutional neural network vision transformer self-attention feature fusion diamond tool segments
Accesso online:	https://journal.szu.edu.cn/Upload/html/202602/202602006/index.html
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