Quantitative detection of typical bridge surface damages based on global attention mechanism and YOLOv7 network
| Auteur(s): |
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) |
|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Structural Health Monitoring |
| DOI: | 10.1177/14759217241246953 |
- Informations
sur cette fiche - Reference-ID
10789341 - Publié(e) le:
20.06.2024 - Modifié(e) le:
20.06.2024
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