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Oct, 2023
文本异常暴露在视觉OoD检测中的有效性研究
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
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Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon
TL;DR
利用生成的文本异常值,进行视觉异常值探测,以提高神经网络的安全性,该方法在大规模OoD和困难OoD基准测试中取得了竞争性的性能。
Abstract
Successful detection of Out-of-Distribution (OoD) data is becoming increasingly important to ensure safe deployment of
neural networks
. One of the main challenges in OoD detection is that
neural networks
output o
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