Apr 2, 2020 · Inspired by the superior detection performance of residual network (ResNet), we proposed a lightweight network, called SlimResNet, which is applied in fabric ...
Firstly, due to the particularity of fabric defects, the size of residual network convolution kernel will be changed in this paper to capture more details.
Firstly, due to the particularity of fabric defects, the size of residual network convolution kernel will be changed in this paper to capture more details.
SlimResNet: A Lightweight Convolutional Neural Network for Fabric Defect Detection. X. Liu, Z. Liu, C. Li, Y. Dong, and M. Wei.
Fabric Defect Detection Based on Lightweight Neural Network. Chapter ... SlimResNet: A Lightweight Convolutional Neural Network for Fabric Defect Detection.
... defect detection, efficiency, memory consumption and model training time. This paper presents a lightweight CNN-based architecture for fabric defect detection.
Missing: SlimResNet: | Show results with:SlimResNet:
Aug 21, 2024 · This paper proposes a lightweight, deep learning-based defect detection method using YOLOv5. The method includes a newly designed C3-CM module ...
Missing: SlimResNet: | Show results with:SlimResNet:
Jul 24, 2024 · Based on the Gather module, we construct a novel network architecture called GatherNet which is the lightest convolutional neural network ...
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What is fabric defect detection?
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In this project, we improved Faster RCNN with convolutional block attention module (CBAM) to detect fabric defects. Attention module is introduced from graph ...
A new intelligent fabric defect detection and classification system based on Gabor filter and modified Elman neural network. Please enable JavaScript.