ICLRApr, 2021
增强的形状偏差能否提高神经网络对常见污染的鲁棒性?
Does enhanced shape bias improve neural network robustness to common corruptions?
Chaithanya Kumar Mummadi, Ranjitha Subramaniam, Robin Hutmacher, Julien Vitay, Volker Fischer...
TL;DR通过对自然图像进行样式和边缘特征的处理,对卷积神经网络进行数据增强可以减少纹理偏差并增加形状偏差,从而提高其鲁棒性。