Hybrid semantic segmentation for tunnel lining cracks based on Swin Transformer and convolutional neural network
| Autor(en): |
Zhong Zhou
(School of Civil Engineering and Hunan Provincial Key Laboratory for Disaster Prevention and Mitigation of Rail Transit Engineering Structure Central South University Changsha P. R. China)
Junjie Zhang (School of Civil Engineering and Hunan Provincial Key Laboratory for Disaster Prevention and Mitigation of Rail Transit Engineering Structure Central South University Changsha P. R. China) Chenjie Gong (School of Civil Engineering and Hunan Provincial Key Laboratory for Disaster Prevention and Mitigation of Rail Transit Engineering Structure Central South University Changsha P. R. China) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Computer-Aided Civil and Infrastructure Engineering, November 2023, n. 17, v. 38 |
| Seite(n): | 2491-2510 |
| DOI: | 10.1111/mice.13003 |
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Datenseite - Reference-ID
10725620 - Veröffentlicht am:
30.05.2023 - Geändert am:
14.01.2024
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