Automated visual inspection of fabric image using deep learning approach for defect detection-Reference-Cited by-同舟云学术

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Automated visual inspection of fabric image using deep learning approach for defect detection

Published:2021-06-20 Issue: Volume: Page:
ISSN:
Container-title:Automated Visual Inspection and Machine Vision IV
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Author:

Voronin Vyacheslav V.,Sizyakin Roman,Zhdanova Marina,Semenishchev Evgenii A.,Bezuglov Dmitry,Zelemskii Aleksander A.

Publisher

SPIE

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fabric defect detection and classification via deep learning-based improved Mask RCNN;Signal, Image and Video Processing;2023-12-20

2. Una aproximación a la optimización de los sistemas de control de calidad mediante inteligencia artificial;Nuevas perspectivas en Educación, Innovación y TIC: una nueva mirada para la mejora social y empresarial;2023-04-19

3. Artificial Intelligence based Optimization with Extreme Gradient Boosting for Fabric Defect Detection and Classification Model;2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS);2023-03-23

4. Fabric image inspection using deep learning approach;Optical Metrology and Inspection for Industrial Applications IX;2022-12-19

5. Using deep learning to detect the presence/absence of defects on leather: on the way to build an industry-driven approach;Journal of Physics: Conference Series;2022-04-01

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