S³Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data

ECCV 2020 Bin ChengInderjot Singh SagguRaunak ShahGaurav BansalDinesh Bharadia

Solving depth estimation with monocular cameras enables the possibility of widespread use of cameras as low-cost depth estimation sensors in applications such as autonomous driving and robotics. In order to learn such a scalable depth estimation model, we require a ton of data and labels which are targeted towards specific use-cases... (read more)

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