Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization

Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu

Abstract: Highlights•Cross Knowledge Learning (CKL) is proposed to train more relevant semantic features.•Taxonomy Regularization (TR) is designed to generate more generalized visual features.•Extensive experiments show our approach performs well for zero-shot learning task.