Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach

16 Jul 2019Yipeng MouMingming GongHuan FuKayhan BatmanghelichKun ZhangDacheng Tao

Majority of state-of-the-art monocular depth estimation methods are supervised learning approaches. The success of such approaches heavily depends on the high-quality depth labels which are expensive to obtain... (read more)

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