Transductive Unbiased Embedding for Zero-Shot Learning

CVPR 2018 Jie SongChengchao ShenYezhou YangYang LiuMingli Song

Most existing Zero-Shot Learning (ZSL) methods have the strong bias problem, in which instances of unseen (target) classes tend to be categorized as one of the seen (source) classes. So they yield poor performance after being deployed in the generalized ZSL settings... (read more)

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