Recognition effect of each model.

Recognition effect of each model.

<div><p>The automatic detection of the degree of surface corrosion on metal structures is of significant importance for assessing structural damage and safety. To effectively identify the corrosion status on the surface of coastal metal facilities, this study proposed a CBG-YOLOv5s model...

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Bibliographic Details
Main Author: Mingjiao Fu (18340281) (author)
Other Authors: Zhitong Jia (17709113) (author), Lingzhi Wu (133076) (author), Zhendong Cui (18340284) (author)
Published: 2024
Subjects:
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
spatial attention capabilities
conducted extensive experiments
assessing structural damage
coastal metal facilities
lighter c3ghost module
feature fusion part
module effectively enhanced
yolov5s </ p
metal surface corrosion
metal structures
effectively identify
c3cbam module
c3 module
surface corrosion
feature representation
feature map
corrosion status
yolov5s model
xlink ">
thereby improving
study proposed
significant importance
running speed
results showed
computational load
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