Abstract: The rapid evolution of low-power applications in VLSI design calls for innovative transistor technologies that are capable of meeting stringent energy efficiency requirements. Carbon ...
Abstract: Kernel point convolution (KPConv) defines convolutional weights based on Euclidean distances between kernel points and input points and has shown good segmentation results on several ...