Attention‐guided multiscale neural network for defect detection in sewer pipelines
Autor(en): |
Yanfen Li
(Department of Computer Science and Engineering Sejong University Seoul Republic of Korea)
Hanxiang Wang (Department of Computer Science and Engineering Sejong University Seoul Republic of Korea) L. Minh Dang (Department of Information and Communication Engineering, and Convergence Engineering for Intelligent Drone Sejong University Seoul Republic of Korea) Hyoung‐Kyu Song (Department of Information and Communication Engineering, and Convergence Engineering for Intelligent Drone Sejong University Seoul Republic of Korea) Hyeonjoon Moon (Department of Computer Science and Engineering Sejong University Seoul Republic of Korea) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Computer-Aided Civil and Infrastructure Engineering, April 2023, n. 15, v. 38 |
Seite(n): | 2163-2179 |
DOI: | 10.1111/mice.12991 |
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Datenseite - Reference-ID
10708780 - Veröffentlicht am:
21.03.2023 - Geändert am:
25.09.2023