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 ...
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