Lightweight Deep Learning CNN Architecture Enhanced by Squeeze-and-Excitation Attention for Bridge Crack Image Analysis
Cracks that develop over time in bridges, which are an important part of transportation infrastructure, pose a structural safety risk when detected late and can lead to increased repair costs. This study aims to demonstrate the effectiveness of convolutional neural network (CNN) based deep learning architectures enhanc...