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MNIST-C: A Robustness Benchmark for Computer Vision

appsOther research productkeyboard_double_arrow_right Other ORP type , Image 05 Jun 2019Publisher:Zenodo
Authors: Mu, Norman; Gilmer, Justin;

doi: 10.5281/zenodo.3237937 , 10.5281/zenodo.3239543 , 10.5281/zenodo.3237938

MNIST-C: A Robustness Benchmark for Computer Vision

Abstract

mnist_c.zip contains the MNIST-C dataset consisting of 15 corrupted versions of MNIST. mnist_c_leftovers.zip contains an additional 16 corrupted versions of MNIST not selected for use in MNIST-C. Corruption source code is available at http://github.com/google-research/mnist-c.

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Keywords

machine learning, robustness, computer vision

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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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