reference batch normalization where you just pick a reference batch of examples at the start of training and you never change them and you always compute the mean and the standard deviation of the features on those reference images and then you use them to normalize different images that you train on it means that every image throughout all of training is normalized using the statistics from the same reference batch and there's no longer this random jitter as we resample the images that are used to create the