Before revision:  We replace the moments of the learned features of one training image by those of another, and also interpolate the target labels  .
After revision:  We replace the moments of the learned features of one training image by those of another, and also interpolate the target labels -- forcing the model to extract training signal from the moments in addition to the normalized features .