Joint deep feature learning and unsupervised visual domain adaptation for cross-domain 3D object retrieval

•An unsupervised domain adaption method for 3D object retrieval by jointly learning the deep 3D representation and domain alignment in the end-to-end manner is proposed.•The proposed method can reduce statistical domain divergence and improve the feature representation from different domains.•The proposed method focuses on the cross-domain retrieval task, which can effectively use the exist 3D object dataset to explore the generation ability of methods for another dataset.•The experimental results on CAD Object to CAD Object and RGB-D Object to CAD Object retrieval show the superiority of the proposed method.