Abstract: Image-based automated crack detection techniques have been developed and applied extensively during the past decade. However, issues existing in this type of methodology have not yet been fully addressed. Early studies ...

Abstract: Although deep convolutional neural networks (DCNNs) have been widely adopted for crack segmentation, they often demonstrate performance degradation on data with real-world complexities. To achieve consistent and accurate ...