Attribute relation learning for zero-shot classification

Mingxia Liu, Daoqiang Zhang, Songcan Chen

Abstract: Highlights•We propose a learning model (ARL) to train the attribute classifiers jointly to learn the attribute relation automatically from data.•We propose a method to reuse the attribute relation learned from ARL model to boost the performances of traditional attribute classifiers.•We develop two types of learning schemes for zero-shot classification.