Driver Distraction Detection Using Octave-Like Convolutional Neural Network
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DOI: 10.1109/tits.2021.3086411
Abstract: This study proposes a lightweight convolutional neural network with an octave-like convolution mixed block, called OLCMNet, for detecting driver distraction under a limited computational budget. The OLCM block uses point-wise convolution (PC) to expand feature… read more here.
Keywords: neural network; octave like; frequency; driver distraction ... See more keywords