Joint attribute chain prediction for zero-shot learning

Lingfeng Qiao, Hongya Tuo, Jiexin Wang, Chao Wang, Zhongliang Jing

Abstract: Zero-shot learning (ZSL) aims to classify the objects without any training samples. Attributes are used to transfer knowledge from the training set to testing one in ZSL. Most ZSL methods based on Di...