Deep Transductive Network for Generalized Zero Shot Learning

Pattern Recognition(2020)

引用 31|浏览109
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摘要
•A Deep Transductive Network is proposed to solve the domain shift problem of ZSL.•KL Divergence is exploited as the soft assignment for unlabeled unseen data with an auxiliary target distribution.•New experimental paradigm is demonstrated to solve the meaningless assumption for transductive GZSL.•Extensive experiments show the superiority of the proposed algorithm.
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关键词
Generalized zero shot learning (GZSL),Transductive ZSL,KL Divergence,Deep transductive network (DTN)
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