BriefGPT.xyz
Mar, 2016
实用域自适应的Batch Normalization重新审视
Revisiting Batch Normalization For Practical Domain Adaptation
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Yanghao Li, Naiyan Wang, Jianping Shi, Jiaying Liu, Xiaodi Hou
TL;DR
本文提出了一种称为自适应批量归一化(AdaBN)的方法来提高深度神经网络的泛化能力,无需额外组件或参数,并证明其在领域适应任务和现有方法相结合时具有卓越的性能表现。
Abstract
deep neural networks
(DNN) have shown unprecedented success in various
computer vision
applications such as image classification and object detection. However, it is still a common (yet inconvenient) practice to
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