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  • title: OpenAUC: Towards AUC-Oriented Open-Set Recognition
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            OpenAUC: Towards AUC-Oriented Open-Set Recognition
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            OpenAUC: Towards AUC-Oriented Open-Set Recognition

            Nov 28, 2022

            Speakers

            ZW

            Zitai Wang

            Speaker · 0 followers

            QX

            Qianqian Xu

            Speaker · 0 followers

            ZY

            Zhiyong Yang

            Speaker · 0 followers

            About

            Traditional machine learning follows a close-set assumption that the training and test set share the same label space. While in many practical scenarios, it is inevitable that some test samples belong to unknown classes (open-set). To fix this issue, Open-Set Recognition (OSR), whose goal is to make correct predictions on both close-set samples and open-set samples, has attracted rising attention. In this direction, the vast majority of literature focuses on the pattern of open-set samples. Howe…

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            NeurIPS 2022

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