mean teacher improves the test accuracy and enables training with fewer models fewer labels so i will be giving a brief description of the steps involved in mix match as the four points are like the data augmentation label guessing entropy regularization and mix up so in data augmentation it is common approach to compensate the scarcity of the unlabeled data and data augmentation is done by applying transformations on the input data points such such that the label remains unchanged data augmentation is done both on