Revisiting Unknowns: Towards Effective and Efficient Open-Set Active Learning
Revisiting Unknowns: Towards Effective and Efficient Open-Set Active Learning explores E2OAL is a unified, detector-free framework for open-set active learning that improves accuracy and efficiency by leveraging labeled unknowns, making it suitable for real-world applications.. Commercial viability score: 7/10 in Active Learning.
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