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Mar, 2019
利用特征白化和一致性损失进行无监督域适应
Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss
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Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Samuel Rota Bulo, Nicu Sebe...
TL;DR
介绍了一种新颖的深度学习框架,通过实现特征白化和Min-Entropy Consensus loss来实现域自适应,对公开数据集进行了测试,并取得了新的最先进的性能表现。
Abstract
A
classifier
trained on a dataset seldom works on other datasets obtained under different conditions due to
domain shift
. This problem is commonly addressed by domain adaptation methods. In this work we introduce
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