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Fabric Surface Defect Detection Based on GMRF Model

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Changshuo WuAuthors Info & Claims

ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems

Article No.: 307, Pages 1 - 4

https://doi.org/10.1145/3469213.3471336

Published: 18 August 2021 Publication History

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Cited By

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Hassan SBeliatis MRadziwon AMenciassi AOddo C(2024)Textile Fabric Defect Detection Using Enhanced Deep Convolutional Neural Network with Safe Human–Robot Collaborative InteractionElectronics10.3390/electronics1321431413:21(4314)Online publication date: 2-Nov-2024
https://doi.org/10.3390/electronics13214314
Carrilho RHambarde KProença H(2024)A Novel Dataset for Fabric Defect Detection: Bridging Gaps in Anomaly DetectionApplied Sciences10.3390/app1412529814:12(5298)Online publication date: 19-Jun-2024
https://doi.org/10.3390/app14125298
Yue XWang QHe LLi YTang D(2022)Research on Tiny Target Detection Technology of Fabric Defects Based on Improved YOLOApplied Sciences10.3390/app1213682312:13(6823)Online publication date: 5-Jul-2022
https://doi.org/10.3390/app12136823
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ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems

May 2021

2053 pages

ISBN:9781450390200

DOI:10.1145/3469213

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 18 August 2021

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ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems

May 28 - 30, 2021

Chongqing, China

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Hassan SBeliatis MRadziwon AMenciassi AOddo C(2024)Textile Fabric Defect Detection Using Enhanced Deep Convolutional Neural Network with Safe Human–Robot Collaborative InteractionElectronics10.3390/electronics1321431413:21(4314)Online publication date: 2-Nov-2024
https://doi.org/10.3390/electronics13214314
Carrilho RHambarde KProença H(2024)A Novel Dataset for Fabric Defect Detection: Bridging Gaps in Anomaly DetectionApplied Sciences10.3390/app1412529814:12(5298)Online publication date: 19-Jun-2024
https://doi.org/10.3390/app14125298
Yue XWang QHe LLi YTang D(2022)Research on Tiny Target Detection Technology of Fabric Defects Based on Improved YOLOApplied Sciences10.3390/app1213682312:13(6823)Online publication date: 5-Jul-2022
https://doi.org/10.3390/app12136823
Yao LZhang NGao AWan Y(2022)Research on Fabric Defect Detection Technology Based on EDSR and Improved Faster RCNNKnowledge Science, Engineering and Management10.1007/978-3-031-10989-8_38(477-488)Online publication date: 6-Aug-2022
https://dl.acm.org/doi/10.1007/978-3-031-10989-8_38

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Fabric Defect Detection Based on Projected Transform for Feature Extraction

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