Complementary Attributes: A New Clue to Zero-Shot Learning

17 Apr 2018 Xiaofeng Xu Ivor W. Tsang Chuancai Liu

Zero-shot learning (ZSL) aims to recognize unseen objects using disjoint seen objects via sharing attributes. The generalization performance of ZSL is governed by the attributes, which transfer semantic information from seen classes to unseen classes... (read more)

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