Quantitative detection of typical bridge surface damages based on global attention mechanism and YOLOv7 network
| Autor(en): |
You-Hao Ni
(Key Laboratory of C&PC Structures of Ministry of Education, Southeast University, Nanjing, China)
Hao Wang 
(Key Laboratory of C&PC Structures of Ministry of Education, Southeast University, Nanjing, China)
Jian-Xiao Mao (Key Laboratory of C&PC Structures of Ministry of Education, Southeast University, Nanjing, China) Zhuo Xi (Key Laboratory of C&PC Structures of Ministry of Education, Southeast University, Nanjing, China) Zhen-Yi Chen (Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Structural Health Monitoring |
| DOI: | 10.1177/14759217241246953 |
- Über diese
Datenseite - Reference-ID
10789341 - Veröffentlicht am:
20.06.2024 - Geändert am:
20.06.2024
Structurae kooperiert mit
