What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?

Nikolaus Mayer, Eddy Ilg, Philipp Fischer +4

The finding that very large networks can be trained efficiently and reliably has led to a paradigm shift in computer vision from engineered solutions to learning formulations. As a…