Before revision:  In this paper, we propose a novel network architecture to tackle these limitations by estimating mutual information in high- and low-level representationsregardless of the domain that is considered as a subject in this paper.
After revision:  In this paper, we propose a novel framework that learns class-relevant and low-level representationsregardless of the domain that is considered as a subject in this paper.