  Monocular Depth Estimation is usually treated as a supervised and regression
problem when it actually is very similar to semantic segmentation task since
they both are fundamentally pixel-level classification tasks. We applied depth
increments that increases with depth in discretizing depth values and then
applied Deeplab v2 and the result was higher accuracy. We were able to achieve
a state-of-the-art result on the KITTI dataset and outperformed existing
architecture by an 8% margin.
