Monocular three-dimensional object detection using data augmentation and self-supervised learning in autonomous driving
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DOI: 10.1117/1.jei.32.1.011004
Abstract: Abstract. Monocular three-dimensional (3D) object detection (OD) is an essential and challenging task in the domain of autonomous driving. Modern convolution neural network-based architectures for OD heavily rely on data augmentation (DA) and self-supervised learning… read more here.
Keywords: monocular three; dimensional object; three dimensional; detection ... See more keywords