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LightDepth: Single-View Depth Self-Supervision from Illumination Decline
However, there are scenarios, especially in medicine in the case of endoscopies, where such data cannot be obtained.
On the Uncertain Single-View Depths in Colonoscopies
Estimating depth information from endoscopic images is a prerequisite for a wide set of AI-assisted technologies, such as accurate localization and measurement of tumors, or identification of non-inspected areas.
Bayesian Deep Neural Networks for Supervised Learning of Single-View Depth
In this paper, we evaluate scalable approaches to uncertainty quantification in single-view supervised depth learning, specifically MC dropout and deep ensembles.
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