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Dec, 2020
MetaAugment: 样本感知数据增强策略学习
MetaAugment: Sample-Aware Data Augmentation Policy Learning
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Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong...
TL;DR
本文提出了一种以样本为基础的数据增强策略,采用元学习解决数据增强效果与样本间变异之间的平衡问题,并在CIFAR-10/100、Omniglot、ImageNet等数据集上通过实验证明了其优越性能。
Abstract
automated data augmentation
has shown superior performance in
image recognition
. Existing works search for dataset-level augmentation policies without considering individual sample variations, which are likely to
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