Quantitative detection of typical bridge surface damages based on global attention mechanism and YOLOv7 network
| Author(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) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring |
| DOI: | 10.1177/14759217241246953 |
- About this
data sheet - Reference-ID
10789341 - Published on:
20/06/2024 - Last updated on:
20/06/2024
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