Abstract: Unsupervised visual defect detection is essential across various industrial applications. Typically, this involves learning a representation space that captures only the features of normal ...

Abstract: Deep neural network (DNN)-based inversion of ground penetrating radar (GPR) data is gaining significant attention, primarily using simulated data for training due to the lack of ground truth ...