2017
Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths
CVPR 2017poster
Zero-shot recognition aims to accurately recognize objects of unseen classes by using a shared visual-semantic mapping between the image feature space and the semantic embedding space. This mapping is learned on training data of seen classes and is expected to have transfer ability to unseen classe…