Artificial Intelligence #optical flow#computer vision
Triangular Consistency Constraint Offers Universal Plug-and-Play Component for Optical Flow Learning
Researchers propose triangular consistency, a first-principled constraint for optical flow that is agnostic to network architecture, supervision type, and dataset. The constraint composes two flows to induce a third and enforces consistency, showing consistent improvement across supervised, unsupervised, and transfer learning with negligible computational overhead.
Jun 20, 2026 1 source