2017
Attributes2Classname: A Discriminative Model for Attribute-Based Unsupervised Zero-Shot Learning
ICCV 2017poster
We propose a novel approach for unsupervised zero-shot learning (ZSL) of classes based on their names. Most existing unsupervised ZSL methods aim to learn a model for directly comparing image features and class names. However, this proves to be a difficult task due to dominance of non-visual semanti…