Distilled Semantics for Comprehensive Scene Understanding from Videos

a) (b) (c) (d) (e) (f) Figure 1. Given an input monocular video (a), our network can provide the following outputs in real-time: depth (b), optical flow (c), semantic labels (d), per-pixel motion probabilities (e), motion mask (f).