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    Zero-shot classification with unseen prototype learning

    Zero-shot learning (ZSL) aims at recognizing instances from unseen classes via training a classification model with only seen data. Most existing approaches easily suffer from the classification bias from unse...

    Zhong Ji, Biying Cui, Yunlong Yu, Yanwei Pang… in Neural Computing and Applications (2023)