2019
Attribute Attention for Semantic Disambiguation in Zero-Shot Learning
ICCV 2019poster
Zero-shot learning (ZSL) aims to accurately recognize unseen objects by learning mapping matrices that bridge the gap between visual information and semantic attributes. Previous works implicitly treat attributes equally in compatibility score while ignoring that they have different importance for d…