Adaptive Batch Normalization for practical domain adaptation

作者：

Highlights：

• A novel domain adaptation technique called Adaptive Batch Normalization (AdaBN).

• The effectiveness of AdaBN is validated for both single source and multi-source domain adaptation tasks.

• Experiments on the cloud detection for remote sensing images demonstrate the effectiveness of AdaBN in practical use.

摘要

•A novel domain adaptation technique called Adaptive Batch Normalization (AdaBN).•The effectiveness of AdaBN is validated for both single source and multi-source domain adaptation tasks.•Experiments on the cloud detection for remote sensing images demonstrate the effectiveness of AdaBN in practical use.

论文关键词：Domain adaptation,Batch normalization,Neural networks

论文评审过程：Received 13 August 2017, Revised 26 February 2018, Accepted 4 March 2018, Available online 6 March 2018, Version of Record 16 March 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.03.005