Analyzing the Effectiveness of Various ML and DL Models in Detecting Defects in Textile Fabrics
Author:
Affiliation:
1. Bharath Institute of Higher Education and Research (BIHER),Department of Computer Science and Engineering,Chennai-73,Tamil Nadu,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10370002/10368600/10370444.pdf?arnumber=10370444
Reference18 articles.
1. An Analysis of Fabric Defect Detection Techniques for Textile Industry Quality Control
2. A Novel Fabric Defect Detection Network Based on Attention Mechanism and Multi-Task Fusion
3. Defect Detection and Classification for Plain Woven Fabric Based on Deep Learning
4. Pixel-Wise Fabric Defect Detection by CNNs Without Labeled Training Data
5. Using DLT for Textile Fabric Inspection: A Novel Network for Detecting Fabric Defects
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