… in deep learning-based monocular depth estimation. We give … the deep learning models for
monocular depth estimation. … deep learning-based methods in monocular depth estimation. …

… monocular depth estimation methods based on deep learning … evaluation indicators in deep
learning-based depth estimation. … ideas for future researches in monocular depth estimation. …

… and structured survey of deep learning-based monocular depth estimation approaches. The
… of monocular depth estimation, problem description, traditional methods for depth estimation …

… on deep learning methods for stereo-based depth estimation, ie, n ¼ … depth estimation
methods are beyond the scope of this paper and require a separate survey. Learning-based depth …

… vehicles have improved the requirement for precise depth measurements. Depth estimation
(DE) is a … Conventional monocular DE (MDE) procedures are based on depth cues for depth …

… losses in regions with large depth values, so that our depth estimation network is capable to
… medium depth and to rationally estimate large depth values. Assuming that a depth interval […

… Moreover, our work provides comprehensive surveys over the monocular depth estimation
and depth completion areas and we compare the proposed method with other approaches in …

… This article reviews the monocular depth estimation algorithms relied on deep learning in …
into supervised depth estimation methods and self-supervised monocular depth estimation …

… late the depth estimation as a deep continuous CRF learning problem, … depth estimation,
given the continuous nature of the depth values, and learn the potential functions in a deep …

… CRFs for depth estimation in a unified training framework. … using the estimated depth to
develop more accurate deep networks … for future deep learning-oriented endoscopy applications. …