An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild

13 May 2016Wei-Lun ChaoSoravit ChangpinyoBoqing GongFei Sha

Zero-shot learning (ZSL) methods have been studied in the unrealistic setting where test data are assumed to come from unseen classes only. In this paper, we advocate studying the problem of generalized zero-shot learning (GZSL) where the test data's class memberships are unconstrained... (read more)

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