Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition

ECCV 2018 Huajie JiangRuiping WangShiguang ShanXilin Chen

Zero-shot learning (ZSL) aims to recognize objects of novel classes without any training samples of specific classes, which is achieved by exploiting the semantic information and auxiliary datasets. Recently most ZSL approaches focus on learning visual-semantic embeddings to transfer knowledge from the auxiliary datasets to the novel classes... (read more)

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