Computer Vision-Based Bridge Damage Detection Using Deep Convolutional Networks with Expectation Maximum Attention Module

Cracks and exposed steel bars are the main factors that affect the service life of bridges. It is necessary to detect the surface damage during regular bridge inspections. Due to the complex structure of bridges, automatically detecting bridge damage is a challenging task. In the field of crack clas...

Descripción completa

Detalles Bibliográficos
Autores principales: Qiao, Wenting, Ma, Biao, Liu, Qiangwei, Wu, Xiaoguang, Li, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866005/
https://www.ncbi.nlm.nih.gov/pubmed/33530484
http://dx.doi.org/10.3390/s21030824

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866005/
https://www.ncbi.nlm.nih.gov/pubmed/33530484
http://dx.doi.org/10.3390/s21030824

Ejemplares similares