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Feb, 2022
深度神经网络的特征层级增强提高仿射变换鲁棒性
Feature-level augmentation to improve robustness of deep neural networks to affine transformations
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Adrian Sandru, Mariana-Iuliana Georgescu, Radu Tudor Ionescu
TL;DR
本文提出了在中间神经网络层引入数据增强以改善卷积神经网络不适用于少量像素旋转或平移的问题，并证明该方法比已有的两种方法获得更好的精度和平均翻转比。
Abstract
Recent studies revealed that
convolutional neural networks
do not generalize well to small
image transformations
, e.g. rotations by a few degrees or translations of a few pixels. To improve the robustness to such
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