Semi-Supervised Adversarial Monocular Depth Estimation

6 Aug 2019Rongrong JiKe LiYan WangXiaoshuai SunFeng GuoXiaowei GuoYongjian WuFeiyue HuangJiebo Luo

In this paper, we address the problem of monocular depth estimation when only a limited number of training image-depth pairs are available. To achieve a high regression accuracy, the state-of-the-art estimation methods rely on CNNs trained with a large number of image-depth pairs, which are prohibitively costly or even infeasible to acquire... (read more)

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