Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection

Out-of-distribution (OOD) detection is a crucial task for ensuring the reliability and safety of deep learning. The dataset used in this paper is CIFAR10, CIFAR100, and ImageNet.

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Cite this as

Luping Liu, Yi Ren, Xize Cheng, Rongjie Huang, Chongxuan Li, Zhou Zhao (2024). Dataset: Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection. https://doi.org/10.57702/cn8nlrkm

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2211.11255
Author Luping Liu
More Authors
Yi Ren
Xize Cheng
Rongjie Huang
Chongxuan Li
Zhou Zhao
Homepage https://github.com/luping-liu/DiffOOD