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 ...
Image courtesy by QUE.com The University of North Texas (UNT) is stepping into the future with a new undergraduate major in ...
Previous research has investigated the application of Multimodal Large Language Models (MLLMs) in understanding 3D scenes by interpreting them as videos. These approaches generally depend on ...
Abstract: While the mainstream research in anomaly detection has mainly followed the one-class classification, practical industrial environments often incur noisy training data due to annotation ...
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