DMT: Dynamic mutual training for semi-supervised learning

•A new viewpoint from inter-model disagreement to alleviate pseudo label noise in semi-supervised learning.•Quantify inter-model disagreement and propose dynamic mutual training with a noise-robust loss.•State-of-the-art performance in semi-supervised image classification and semantic segmentation.