https://arxiv.org/abs/1908.05832 Transferable Contrastive Network for Generalized Zero-Shot Learning Zero-shot learning (ZSL) is a challenging problem that aims to recognize the target categories without seen data, where semantic information is leveraged to transfer knowledge from some source classes. Although ZSL has made great progress in recent years, arxiv.org Transferable Contrastive Networ..
