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What is YOLOv5s-HSC for Concrete Dam Damage Detection about?

This paper introduces a novel system for detecting and localizing damages in concrete dams using an improved YOLOv5s-HSC algorithm combined with 3D photogrammetric reconstruction. The method enhances feature extraction through Swin transformer blocks and coordinate attention modules, resulting in a 3.8% increase in mean average precision for detecting small objects. The system effectively maps detected damages to their corresponding locations on a 3D model, facilitating intuitive visualization of concrete d

Author

Reena Abhishek

Language

EN