MCAW-YOLO: An Efficient Detection Model for Ceramic Tile Surface Defects

Traditional manual visual detection methods are inefficient, subjective, and costly, making them prone to false and missed detections. Deep-learning-based defect detection identifies the types of defects and pinpoints their locations. By employing this approach, we could enhance the production workf...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Xulong Yu, Qiancheng Yu, Qunyue Mu, Zhiyong Hu, Jincai Xie
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2023-11-01
סדרה:	Applied Sciences
נושאים:	ceramic tile surface-defect detection multi-scale feature fusion attention mechanism loss function
גישה מקוונת:	https://www.mdpi.com/2076-3417/13/21/12057
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!