This repository implements the Cross-Consistency Training (CCT) method for semi-supervised semantic segmentation. It adapts consistency training frameworks to the dense prediction setting of segmentation, enforcing consistency over encoder outputs rather than inputs. The approach uses perturbations and can incorporate weak labels and multi-domain pixel-level labels alongside unlabeled data.