Inconsistency Masks: Harnessing Model Disagreement for Stable Semi-Supervised Segmentation

Michael R. H. Vorndran, Bernhard F. Roeck

A primary challenge in semi-supervised learning (SSL) for segmentation is the confirmation bias from noisy pseudo-labels, which destabilizes training and degrades performance. We p…