Attention-based Feature Fusion Generative Adversarial Network for yarn-dyed fabric defect detection

• Published in: Textile research journal Vol. 93; no. 5-6; pp. 1178 - 1195
• Main Authors: Zhang, Hongwei, Qiao, Guanhua, Lu, Shuai, Yao, Le, Chen, Xia
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.03.2023; Sage Publications Ltd
• Subjects: Algorithms; Deep learning; Defects; Discriminators; Fabrics; Feature maps; Generative adversarial networks; Image reconstruction; Information processing; Learning algorithms; Machine learning; Quality control; generative adversarial network; attention mechanism; feature pyramid network; Yarn-dyed fabric defect detection; unsupervised learning

Defects on the surface of yarn-dyed fabrics are one of the important factors affecting the quality of fabrics. Defect detection is the core link of quality control. Due to the diversity of yarn-dyed fabric patterns and the scarcity of defect samples, reconstruction-based unsupervised deep learning a...