In this paper, we propose a novel cross-modal retrieval method, named MGSGH, which deeply explores the internal correlation between data of different granularities by integrating coarse-grained global ...

Deep multiview clustering provides an efficient way to analyze the data consisting of multiple modalities and features. Recently, the autoencoder (AE)-based deep multiview clustering algorithms have ...