Meng-Qi Chen

Investigating the Effect of Attention Module Positioning on Fabric Defect Detection Performance Using the Convolutional Block Attention Module

The detection of fabric defects is a critical step in ensuring product quality within the textile industry. However, existing object detection methods often struggle to effectively capture the subtle features of narrow fabric defects (such as narrow yarn defects), resulting in decreased detection accuracy. To address t...