Improving Self-Supervised Single View Depth Estimation by Masking Occlusion

29 Aug 2019Maarten Schellevis

Single view depth estimation models can be trained from video footage using a self-supervised end-to-end approach with view synthesis as the supervisory signal. This is achieved with a framework that predicts depth and camera motion, with a loss based on reconstructing a target video frame from temporally adjacent frames... (read more)

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