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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.

Data and Resources

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

Field Value
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