Unsupervised domain adaptation with structural attribute learning networks

•Presenting a new deep transfer algorithm for cross-domain Image classification.•Proposing a novel domain adaptation approach based on the attribute learning.•Exploring the structural relationship of the sample features rather than simply learning the features of input samples.•Experiments are employed and show the usefulness of the proposed method.