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The Journal of The Textile Institute Volume 112, 2021 - Issue 2
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Research Articles

Fabric surface characterization: assessment of deep learning-based texture representations using a challenging dataset

Yuting Hua Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-1246-5561View further author information
ORCID Icon,
Zhiling Longa Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USAView further author information
,
Anirudha Sundaresana Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USAView further author information
,
Motaz Alfarrajb King Fahd University of Petroleum and Minerals, Electrical Engineering Department, Dhahran, Saudi ArabiaView further author information
,
Ghassan AlRegiba Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USAView further author information
,
Sungmee Parkc Georgia Institute of Technology, School of Materials Science and Engineering, Atlanta, GA, USAView further author information
&
Sundaresan Jayaramanc Georgia Institute of Technology, School of Materials Science and Engineering, Atlanta, GA, USAView further author information
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Pages 293-305 | Received 03 Dec 2019, Accepted 12 Mar 2020, Published online: 30 Apr 2020

Citations (5)

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Read on this site (1)

Le Cheng, Jizheng Yi, Aibin Chen, Yi Zhang & Chao Hou. (2023) Fabric material identification based on Densenet variant networks. The Journal of The Textile Institute 114:10, pages 1527-1538.
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Articles from other publishers (4)

Chipp Jansen, Zhengtao Ma, Lissy Hatfield, Boyuan Tuo, Elif Ozden Yenigun, Sharon Baurley, Stephen Jia Wang & Kun Pyo Lee. (2024) Textile Robotic Interaction for Designer-Robot Collaboration. Textile Robotic Interaction for Designer-Robot Collaboration.
Vinay Kukreja, Rishabh Sharma & Satvik Vats. (2023) Sustainable Fabric Recycling using Hybrid CNN-LSTM Multi-Classification Model. Sustainable Fabric Recycling using Hybrid CNN-LSTM Multi-Classification Model.
Borhan Uddin Sumon, Damien Muselet, Sixiang Xu & Alain Trémeau. (2022) Multi-View Learning for Material Classification. Journal of Imaging 8:7, pages 186.
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Joanna Sekulska-Nalewajko, Jarosław Gocławski & Ewa Korzeniewska. (2020) A Method for the Assessment of Textile Pilling Tendency Using Optical Coherence Tomography. Sensors 20:13, pages 3687.
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