On the powerfulness of textual outlier exposure for visual ood detection

[PDF] arxiv.org

Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey

A Miyai, J Yang, J Zhang, Y Ming, Y Lin, Q Yu… - arXiv preprint arXiv …, 2024 - arxiv.org
Detecting out-of-distribution (OOD) samples is crucial for ensuring the safety of machine
learning systems and has shaped the field of OOD detection. Meanwhile, several other …
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[PDF] arxiv.org

When and How Does In-Distribution Label Help Out-of-Distribution Detection?

X Du, Y Sun, Y Li - arXiv preprint arXiv:2405.18635, 2024 - arxiv.org
Detecting data points deviating from the training distribution is pivotal for ensuring reliable
machine learning. Extensive research has been dedicated to the challenge, spanning …
相关文章 所有 3 个版本