Official implementation of Inconsistency Masks. A robust semi-supervised segmentation framework that reframes model disagreement as a signal for uncertainty filtering. It acts as a general performance enhancer for SOTA models and a stabilizer for training from scratch.
ssl semi-supervised-learning segmentation unet semantic-segmentation hela-cells pseudo-labeling cityscapes-dataset isic-2018 consistency-regularization inconsistency-masks suim
-
Updated
Jul 9, 2026 - Python