Self-Supervised Monocular Image Depth Learning and Confidence Estimation

14 Mar 2018 Long Chen Wen Tang Nigel John

Convolutional Neural Networks (CNNs) need large amounts of data with ground truth annotation, which is a challenging problem that has limited the development and fast deployment of CNNs for many computer vision tasks. We propose a novel framework for depth estimation from monocular images with corresponding confidence in a self-supervised manner... (read more)

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