Hybrid semantic segmentation for tunnel lining cracks based on Swin Transformer and convolutional neural network
| Auteur(s): |
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) |
|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Computer-Aided Civil and Infrastructure Engineering, novembre 2023, n. 17, v. 38 |
| Page(s): | 2491-2510 |
| DOI: | 10.1111/mice.13003 |
- Informations
sur cette fiche - Reference-ID
10725620 - Publié(e) le:
30.05.2023 - Modifié(e) le:
14.01.2024
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