近年来，零样本学习（ZSL，zero-shot learning）已经在大量的任务中受到了广泛的关注。本文为大家带来了南洋理工大学的零样本学习最新综述，希望对大家有所帮助。
A Survey of Zero-Shot Learning: Settings, Methods, and Applications
The key of zero-shot learning is to use the visual-semantic embedding to transfer the knowledge from seen classes to unseen classes. In this paper, we propose to build the visual-semantic embedding by maximizing the mutual information between visual
There are tremendous object categories in the real world besides those in image datasets. Zero-shot learning aims to recognize image categories which are unseen in the training set. A large number of previous zero-shot learning models use word vector
