Methods › Computer Vision › Image Data Augmentation › Fast AutoAugment
Fast AutoAugment
Introduced by Sungbin Lim et al. in Fast AutoAugment
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Fast AutoAugment is an image data augmentation algorithm that finds effective augmentation policies via a search strategy based on density matching, motivated by Bayesian DA. The strategy is to improve the generalization performance of a given network by learning the augmentation policies which treat augmented data as missing data points of training data. However, different from Bayesian DA, the proposed method recovers those missing data points by the exploitation-and-exploration of a family of inference-time augmentations via Bayesian optimization in the policy search phase. This is realized by using an efficient density matching algorithm that does not require any back-propagation for network training for each policy evaluation.
Papers archive 2025-07-28
7 shown of 7, 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.
-
Data Augmentation For Small Object using Fast AutoAugment 10 Jun 2025 · 0 repositories · arXiv:2506.08956
-
Deep AutoAugment 11 Mar 2022 · 1 repository · arXiv:2203.06172
-
AutoCLINT: The Winning Method in AutoCV Challenge 2019 9 May 2020 · 1 repository · arXiv:2005.04373Syntology ran 3 of 3 samples · 0 unverified
-
UniformAugment: A Search-free Probabilistic Data Augmentation Approach 31 Mar 2020 · 1 repository · arXiv:2003.14348
-
DADA: Differentiable Automatic Data Augmentation 8 Mar 2020 · 1 repository · arXiv:2003.03780Syntology ran 5 of 9 samples · 4 unverified
-
Efficient Model for Image Classification With Regularization Tricks 1 Feb 2020 · 1 repository
-
Fast AutoAugment 1 May 2019 · 11 repositories · arXiv:1905.00397Syntology ran 22 of 40 samples · 18 unverified · 3 pointer-only (licence)
Tasks archive 2025-07-28
14 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