A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions-Reference-Cited by-同舟云学术

A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions

Published:2020 Issue: Volume: Page:53-69
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2020
language:
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Author:

Rusak Evgenia,Schott Lukas,Zimmermann Roland S.,Bitterwolf Julian,Bringmann Oliver,Bethge Matthias,Brendel Wieland

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-58580-8_4

Reference45 articles.

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3. Cubuk, E.D., Zoph, B., Mane, D., Vasudevan, V., Le, Q.V.: AutoAugment: Learning augmentation policies from data. arXiv preprint arXiv:1805.09501 (2018)

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5. Dodge, S.F., Karam, L.J.: A study and comparison of human and deep learning recognition performance under visual distortions. CoRR abs/1705.02498 (2017). http://arxiv.org/abs/1705.02498

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