In a nutshell: In a breakthrough that could reshape how tools for harsh environments are made, scientists at Hiroshima University have developed a method to 3D print one of the toughest materials used ...
Stearns and Poletti present a technically impressive study that aims to uncover a deeper understanding of microsaccade function: their role in perceptual modulation and the associated temporal ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
Paper: Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning The MFCAD (Machining Feature CAD) dataset is a comprehensive collection of 3D CAD models with labeled ...
Abstract: Weakly supervised 3D semantic segmentation has proven effective in alleviating the heavy dependence on dense annotations by generating high-quality pseudo-labels. However, due to the scene ...
Abstract: A physical random code (PRC) multiple-input multiple-output (MIMO) radar system is proposed and experimentally demonstrated for three-dimensional (3D) multi-target imaging. The radar system ...
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