FD-YOLO: An Attention-Augmented Lightweight Network for Real-Time Industrial Fabric Defect Detection
Year: 2025
Type: article
Abstract: Fabric defect detection plays a vital role in ensuring textile quality. However, traditional manual inspection methods are often inefficient and inaccurate. To overcome these limitations, we propose FD-YOLO, an enhanced light... | Find, read and cite all the research you need on Tech Science Press
Authors: Shaobo Kang, Mingzhi Yang
Institution: Xiamen University of Technology
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4415569755