C<sup>2</sup>DAN: An Improved Deep Adaptation Network with Domain Confusion and Classifier Adaptation

C<sup>2</sup>DAN: An Improved Deep Adaptation Network with Domain Confusion and Classifier Adaptation

Deep neural networks have been successfully applied in domain adaptation which uses the labeled data of source domain to supplement useful information for target domain. Deep Adaptation Network (DAN) is one of these efficient frameworks, it utilizes Multi-Kernel Maximum Mean Discrepancy (MK-MMD) to...

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Bibliographic Details
Main Authors: Han Sun, Xinyi Chen, Ling Wang, Dong Liang, Ningzhong Liu, Huiyu Zhou
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Sensors
Subjects:
transfer learning
domain adaptation
MK-MMD
domain confusion
classifier adaptation
vehicle classification
Online Access:https://www.mdpi.com/1424-8220/20/12/3606

Internet

https://www.mdpi.com/1424-8220/20/12/3606

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