Relation-based Discriminative Cooperation Network for Zero-Shot Classification

•The discriminative visual embedding preserves the discriminative information of the image features by separating the inter-classes and clustering the intra-classes with a margin.•The discriminative semantic embedding acts as a pivot regularization to ensure the cooperated structures representative by utilizing semantic relations between classes.•Extensive experimental evaluation on multiple datasets, including the large scale ImageNet shows that the proposed model performs favorably against state-of-the-art ZSL methods.