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News/Debiased Negative Mining Improves Out-of-distribution Detection with Pre-trained Vision-Language Models
arxiv
PublishedMay 25, 2026 at 4:00 AM
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Debiased Negative Mining Improves Out-of-distribution Detection with Pre-trained Vision-Language Models

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arXiv:2605.23797v1 Announce Type: new Abstract: Aiming at identifying unexpected inputs from unknown classes, out-of-distribution (OOD) detection has emerged as a pivotal approach to enhancing the reliability of machine learning models. This paper focuses on the burgeoning paradigm of post-hoc OOD d

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