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Attention‐guided multiscale neural network for defect detection in sewer pipelines

Author(s): (Department of Computer Science and Engineering Sejong University Seoul Republic of Korea)
(Department of Computer Science and Engineering Sejong University Seoul Republic of Korea)
(Department of Information and Communication Engineering, and Convergence Engineering for Intelligent Drone Sejong University Seoul Republic of Korea)
(Department of Information and Communication Engineering, and Convergence Engineering for Intelligent Drone Sejong University Seoul Republic of Korea)
(Department of Computer Science and Engineering Sejong University Seoul Republic of Korea)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 15, v. 38
Page(s): 2163-2179
DOI: 10.1111/mice.12991
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.12991.
  • About this
    data sheet
  • Reference-ID
    10708780
  • Published on:
    21/03/2023
  • Last updated on:
    25/09/2023
 
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