Recognizing unknown objects with attributes relationship model

作者：

Highlights：

• This paper tackle zero-shot learning problem in object recognition domain.

• Unknown objects that have no training images are related with known objects.

• A model that combines the benefits of attributes and image hierarchy is proposed.

• The proposed method achieves state-of-the-art accuracy in AwA dataset.

摘要

•This paper tackle zero-shot learning problem in object recognition domain.•Unknown objects that have no training images are related with known objects.•A model that combines the benefits of attributes and image hierarchy is proposed.•The proposed method achieves state-of-the-art accuracy in AwA dataset.

论文关键词：Object recognition,Zero-shot learning,Attributes,Image hierarchy

论文评审过程：Received 13 January 2015, Revised 22 July 2015, Accepted 22 July 2015, Available online 22 August 2015, Version of Record 7 September 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.07.049