Before revision:  Then, the feature maps with different activation distribution are processed separately due to the independence of features. Vanilla CNN is finally guided to learn more rich discriminative features hierarchically for robust classification according to  proposed regularization.
After revision:  Then, the feature maps with different activation distribution are then processed separately to take the feature independence into account. CNN is finally guided to learn more rich discriminative features hierarchically for robust classification according to proposed regularization.