Feb 17, 2024 · This paper presents a fabric defect detection method based on lightweight network. Firstly, this method takes lightweight network YOLOv5s model ...
In this paper, a fabric defect detection method using lightweight CNN is proposed. We introduce an extremely computation-efficient CNN architecture named YOLO- ...
Oct 31, 2019 · In this paper, a new lightweight deep convolution neural network, YOLO-LFD is proposed to detect fabric defects. The 1 \times 1 convolution ...
In this paper, a fabric defect detection method using lightweight CNN is proposed. We introduce an extremely computation-efficient CNN architecture named YOLO- ...
Feb 19, 2024 · In order to solve these problems, a fabric defect detection method based on lightweight network is proposed in this paper. This method takes ...
Real-time Fabric Defect Detection based on Lightweight ...
www.semanticscholar.org › paper › Real-...
A lightweight CNN model designed for fabric defect detection is designed, based on a streamlined architecture that uses depthwise separable convolutions ...
Jun 12, 2024 · Its primary objective is to minimize the computational effort on neural networks by simplifying their convolution kernel. Depthwise separable ...
This paper presents FN-Net, a lightweight CNN-based architecture for fabric defect detection. ... Haffner, Gradient-based learning applied to document recognition ...
This study proposes lightweight CNN-based architecture with adaptive threshold-based class determination for defect detection in fabric manufacturing.
In this paper, a fabric defect detection method using lightweight CNN is proposed. We introduce an extremely computation-efficient CNN architecture named YOLO- ...