Self-Adversarial Disentangling for Specific Domain Adaptation

@article{Zhou2021SelfAdversarialDF,
  title={Self-Adversarial Disentangling for Specific Domain Adaptation},
  author={Qianyu Zhou and Qiqi Gu and Jiangmiao Pang and Zhengyang Feng and Guangliang Cheng and Xuequan Lu and Jianping Shi and Lizhuang Ma},
  journal={ArXiv},
  year={2021},
  volume={abs/2108.03553}
}
Domain adaptation aims to bridge the domain shifts between the source and target domains. These shifts may span different dimensions such as fog, rainfall, etc. However, recent methods typically do not consider explicit prior knowledge on a specific dimension, thus leading to less desired adaptation performance. In this paper, we study a practical setting called Specific Domain Adaptation (SDA) that aligns the source and target domains in a demanded-specific dimension. Within this setting, we… 

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