Triangular Consistency as a Universal Constraint for Learning Optical Flow

Yi Xiao, Carlos Rodriguez Coronel, Jing Zhan +3

We propose triangular consistency as a first-principled constraint for optical flow, which is agnostic to network architecture, supervision type, and dataset, and applies to both i…