%0 Journal Article %A WANG Zeshen %A YANG Yun %A XIANG Hongxin %A LIU Qing %T Survey on Zero-Shot Learning %D 2021 %R 10.3778/j.issn.1002-8331.2106-0133 %J Computer Engineering and Applications %P 1-17 %V 57 %N 19 %X

Although there have been well developed in zero-shot learning since the development of deep learning, in the aspect of the application, zero-shot learning did not have a good system to order it. This paper overviews theoretical systems of zero-shot learning, typical models, application systems, present challenges and future research directions. Firstly, it introduces the theoretical systems from definition of zero-shot learning, essential problems, and commonly used data sets. Secondly, some typical models of zero-shot learning are described in chronological order. Thirdly, it presents the application systems about of zero-shot learning from the three dimensions, such as words, images and videos. Finally, the paper analyzes the challenges and future research directions in zero-shot learning.

%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2106-0133