Several studies have focused on learning joint input-label representations grounded to word semantics for unseen label prediction for images Socher et al., 2013;Norouzi et al., 2014;Zhang et al., 2016;Fu et al., 2018), called zero-shot classification.
(2015) proposed hierarchical recurrent neural networks and showed that they were superior to CNNbased models.