Deep Learning for Surface-Conditioned Structural Crack Recognition: Integrating CNN-Attention Models and Calibrated Confidence Estimation
Surface recognition can organize structural inspection imagery, but high classification accuracy does not establish crack detection or structural diagnosis. This study evaluates the supplied 49,124-image StructDamage collection, containing nine surface categories and 4586 masonry-focused images. A shared ResNet-18 enco...