Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks.
IEEE Transactions on Circuits and Systems for Video Technology(2018)
摘要
Depth estimation from single monocular images is a key component in scene understanding. Most existing algorithms formulate depth estimation as a regression problem due to the continuous property of depths. However, the depth value of input data can hardly be regressed exactly to the ground-truth value. In this paper, we propose to formulate depth estimation as a pixelwise classification task. Spe...
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关键词
Estimation,Training,Semantics,Network architecture,Predictive models,Neural networks,Probability distribution
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