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CIFAR-10/100-C/C-Bar Corruption Benchmarks

Research datakeyboard_double_arrow_right Dataset 03 Mar 2026Publisher:Zenodo
Authors: Yoo, Weebum;

doi: 10.5281/zenodo.18848232 , 10.5281/zenodo.18848231

CIFAR-10/100-C/C-Bar Corruption Benchmarks

Abstract

CIFAR-10/100-C datasets from the paper "Benchmarking Neural Network Robustness to Common Corruptions and Perturbations" by Hendrycks and Dietterich (ICLR 2019) and CIFAR-10/100-C-bar datasets from the paper "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness" by Mintun, Kirillov, and Xie (NeurIPS 2021)

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average