A Method for Detecting Multiple Types of Defects in Concrete Dams Based on an Improved YOLOv12 Model
Accurate detection and characterization of surface defects in concrete dams is vital for ensuring safe operation. To address the limitations of existing research focused solely on cracks and the challenges traditional convolutional networks face in adapting to deformation and multiscale features, this study introduces...