3 papers
cs.CV2019
Improving Generalization via Attribute Selection on Out-of-the-box Data
Xiaofeng Xu, Ivor W. Tsang, Chuancai Liu
Zero-shot learning (ZSL) aims to recognize unseen objects (test classes) given some other seen objects (training classes), by sharing information of attributes between different ob…
cs.CV2019
Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation
Xiaofeng Xu, Ivor W. Tsang, Xiaofeng Cao +2
As a kind of semantic representation of visual object descriptions, attributes are widely used in various computer vision tasks. In most of existing attribute-based research, class…
cs.CV2018
Complementary Attributes: A New Clue to Zero-Shot Learning
Xiaofeng Xu, Ivor W. Tsang, Chuancai Liu
Zero-shot learning (ZSL) aims to recognize unseen objects using disjoint seen objects via sharing attributes. The generalization performance of ZSL is governed by the attributes, w…