Unsupervised fabric defect detection algorithm based on vector quantization and feature distance
Published online on June 05, 2025
Abstract
Textile Research Journal, Ahead of Print.
Fabric defect detection is an indispensable step in textile fabric production, and many deep-learning-based methods have been proposed. However, existing supervised methods are limited by the lack of annotated datasets, and unsupervised anomaly detection ...
Fabric defect detection is an indispensable step in textile fabric production, and many deep-learning-based methods have been proposed. However, existing supervised methods are limited by the lack of annotated datasets, and unsupervised anomaly detection ...