In many practical applications, it is often difficult and expensive to obtain
enough large-scale labeled data to train deep neural networks to their full
capability. Therefore, transferring the learned knowledge from a separate,
labeled source domain to an unlabeled or sparsely labeled target domain becomes
an appealing alternative. However, direct transfer