1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2021
Zero-Shot Learning Based on Knowledge Sharing
Zeng Ting, Xiang Hongxin, Xie Cheng +2
Zero-Shot Learning (ZSL) is an emerging research that aims to solve the classification problems with very few training data. The present works on ZSL mainly focus on the mapping of…
cs.CV2021★ 1 cited
Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification
Cheng Xie, Ting Zeng, Hongxin Xiang +3
New categories can be discovered by transforming semantic features into synthesized visual features without corresponding training samples in zero-shot image classification. Althou…
cs.CV2021
Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization
Cheng Xie, Hongxin Xiang, Ting Zeng +3
Although zero-shot learning (ZSL) has an inferential capability of recognizing new classes that have never been seen before, it always faces two fundamental challenges of the cross…