Zero-Shot Recognition using Dual Visual-Semantic Mapping Paths

CVPR 2017 Yanan LiDonghui WangHuanhang HuYuetan LinYueting Zhuang

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 classes... (read more)

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