The invention relates to a cross-media retrieval method based on a hybrid migration network. The method comprises the following steps that 1, a single-media database and a cross-media database are set up, and data in the cross-media database is divided into a training set and a test set; 2, the hybrid migration network is trained by means of data in the single-media database and the training set of the cross-media database, and used for learning unified representation of different media data; 3, by means of the trained hybrid migration network, unified representation of the data in the test set of the cross-media database is obtained, and then the cross-media similarity is calculated; 4, one media type in the cross-media test set is used as a query set, the other media type serves as a retrieval database to conduct retrieval, and the final retrieval result is obtained according to the similarity. Accordingly, knowledge transfer from single-media to cross-media is achieved, the unified representation more suitable for cross-media retrieval is generated by emphasizing semantic association of a target domain, and the accuracy rate of the cross-media retrieval is increased.