U²Flow jointly estimates optical flow and uncertainty in an unsupervised recurrent setup by deriving uncertainty from augmentation consistency via Laplace maximum likelihood, then using it to refine flow and modulate smoothness.
Optical flow training under limited label budget via active learning
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U$^{2}$Flow: Uncertainty-Aware Unsupervised Optical Flow Estimation
U²Flow jointly estimates optical flow and uncertainty in an unsupervised recurrent setup by deriving uncertainty from augmentation consistency via Laplace maximum likelihood, then using it to refine flow and modulate smoothness.