Mar 25, 2020 · Abstract. Fabric defect detection is an important link for quality control in a textile factory. Deep convolutional neural network (CNN) has ...

Real-time Fabric Defect Detection based on Lightweight Convolutional Neural Network ... Yarn-dyed fabric defect classification based on convolutional neural ...

In this paper, a fabric defect detection method using lightweight CNN is proposed. We introduce an extremely computation-efficient CNN architecture named YOLO- ...

Liu et al. 20 proposed lightweight convolutional neural networks for detecting fabric defects, and their model can be run on edge computing platforms. ... ...

Bibliographic details on Real-time Fabric Defect Detection based on Lightweight Convolutional Neural Network.

Feb 2, 2024 · Abstract. As a practical and challenging task, deep learning-based methods have achieved effective results for fabric defect detection, however, ...

This study proposes lightweight CNN-based architecture with adaptive threshold-based class determination for defect detection in fabric manufacturing.

Feb 17, 2024 · Fabric defect detection based on a deep convolutional neural network ... Real-time fabric defect detection algorithm based on S-YOLOV3 model.

Abstract: In order to achieve real-time defect detection technology, detection accuracy, prediction speed, and lightweight deployment models.

Jun 12, 2024 · Citation2018), a lightweight convolutional neural network designed for mobile devices. ... This study proposes a lightweight neural network fabric ...