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May, 2018
AutoAugment: 从数据中学习增强策略
AutoAugment: Learning Augmentation Policies from Data
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Ekin D. Cubuk, Barret Zoph, Dandelion Mane, Vijay Vasudevan, Quoc V. Le
TL;DR
本文介绍了一种自动搜索图像数据增强策略,使用神经网络在目标数据集上产生最高准确性,并在CIFAR-10,CIFAR-100,SVHN和ImageNet数据集上实现了最先进的准确性,同时找到的增强策略可在不同数据集间转移学习。
Abstract
In this paper, we take a closer look at
data augmentation
for images, and describe a simple procedure called
autoaugment
to search for improved
d
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