Abstract: The main bottleneck for using deep neural networks in location-aided millimeter wave beam alignment procedures is the need for large datasets to tune their large set of trainable parameters.
Abstract: Accurate depth estimation poses a significant challenge in egocentric Augmented Reality (AR), particularly for precision-dependent tasks in the medical field, such as needle or tool ...
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