Methods › Computer Vision › Image Data Augmentation › AugMix
AugMix
Introduced by Dan Hendrycks et al. in AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
AugMix mixes augmented images through linear interpolations. Consequently it is like Mixup but instead mixes augmented versions of the same image.
Papers archive 2025-07-28
20 shown of 20, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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MediAug: Exploring Visual Augmentation in Medical Imaging 26 Apr 2025 · 1 repository · arXiv:2504.18983
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Self-supervised Transformation Learning for Equivariant Representations 15 Jan 2025 · 1 repository · arXiv:2501.08712Syntology ran 3 of 3 samples · 0 unverified
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FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning 15 Oct 2024 · 1 repository · arXiv:2410.11267
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Dynamic Batch Norm Statistics Update for Natural Robustness 31 Oct 2023 · 0 repositories · arXiv:2310.20649
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Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks 30 Jun 2023 · 1 repository · arXiv:2306.17630
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DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers 15 Jun 2023 · 0 repositories · arXiv:2306.09192
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Impact of Light and Shadow on Robustness of Deep Neural Networks 23 May 2023 · 0 repositories · arXiv:2305.14165
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What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel 22 Feb 2023 · 0 repositories · arXiv:2302.11188
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Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration 24 Feb 2022 · 0 repositories · arXiv:2202.12412
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How to augment your ViTs? Consistency loss and StyleAug, a random style transfer augmentation 16 Dec 2021 · 0 repositories · arXiv:2112.09260
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Benchmarks for Corruption Invariant Person Re-identification 1 Nov 2021 · 1 repository · arXiv:2111.00880Syntology ran 2 of 2 samples · 0 unverified
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AugMax: Adversarial Composition of Random Augmentations for Robust Training 26 Oct 2021 · 1 repository · arXiv:2110.13771Syntology ran 6 of 19 samples · 13 unverified
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BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining 29 Sep 2021 · 0 repositories · arXiv:2109.14707
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Defending Against Image Corruptions Through Adversarial Augmentations 2 Apr 2021 · 0 repositories · arXiv:2104.01086
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On the effectiveness of adversarial training against common corruptions 3 Mar 2021 · 1 repository · arXiv:2103.02325
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A Deep Learning Approach for Diabetic Retinopathy detection using Transfer Learning 1 Jan 2021 · 0 repositories
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What are effective labels for augmented data? Improving robustness with AutoLabel 1 Jan 2021 · 0 repositories
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StackMix: A complementary Mix algorithm 25 Nov 2020 · 0 repositories · arXiv:2011.12618
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Improving robustness against common corruptions by covariate shift adaptation 30 Jun 2020 · 2 repositories · arXiv:2006.16971Syntology ran 3 of 3 samples · 0 unverified
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AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty 5 Dec 2019 · 15 repositories · arXiv:1912.02781Syntology ran 43 of 51 samples · 8 unverified · 25 pointer-only (licence)
Tasks archive 2025-07-28
20 shown of 28 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections