Meta Approach to Data Augmentation Optimization
Author:
Affiliation:
1. The University of Tokyo
2. Riken AIP
Funder
University of Tokyo
Microsoft
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9706406/9706408/09706704.pdf?arnumber=9706704
Reference56 articles.
1. Reading Digits in Natural Images with Unsupervised Feature LearningNo Title;netzer;NIPS Workshop on Deep Learning and Unsupervised Feature Learning,2011
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3. Improving robustness without sacrificing accuracy with patch gaussian augmentation;lopes,2019
4. Online Hyper-Parameter Learning for Auto-Augmentation Strategy
5. Fast AutoAugment;lim;NeurIPS,2019
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