Zero-shot classification with unseen prototype learning
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DOI: 10.1007/s00521-021-05746-9
Abstract: 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 unseen to seen categories since the… read more here.
Keywords: unseen prototype; zsl; prototype learning; zero shot ... See more keywords