Monocular Depth Estimation With Augmented Ordinal Depth Relationships
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DOI: 10.1109/tcsvt.2019.2929202
Abstract: Most existing algorithms for depth estimation from single monocular images need large quantities of metric ground-truth depths for supervised learning. We show that relative depth can be an informative cue for metric depth estimation and… read more here.
Keywords: estimation augmented; depth; monocular depth; ground truth ... See more keywords