Unseen Class Discovery in Open-world Classification

ICLR 2018 Lei ShuHu XuBing Liu

This paper concerns open-world classification, where the classifier not only needs to classify test examples into seen classes that have appeared in training but also reject examples from unseen or novel classes that have not appeared in training. Specifically, this paper focuses on discovering the hidden unseen classes of the rejected examples... (read more)

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