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Dual attention deep learning network for automatic steel surface defect segmentation

Author(s): (Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, Department of Civil Engineering Shanghai Jiao Tong University Shanghai China)
(School of Civil and Environmental Engineering Nanyang Technological University Singapore)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 11, v. 37
Page(s): 1468-1487
DOI: 10.1111/mice.12792
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1111/mice.12792.
  • About this
    data sheet
  • Reference-ID
    10637086
  • Published on:
    30/11/2021
  • Last updated on:
    13/08/2022
 
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