Towards Novel Target Discovery Through Open-Set Domain Adaptation

@article{Jing2021TowardsNT,
  title={Towards Novel Target Discovery Through Open-Set Domain Adaptation},
  author={Taotao Jing and Hong Liu and Zhengming Ding},
  journal={2021 IEEE/CVF International Conference on Computer Vision (ICCV)},
  year={2021},
  pages={9302-9311}
}
Open-set domain adaptation (OSDA) considers that the target domain contains samples from novel categories unobserved in external source domain. Unfortunately, existing OSDA methods always ignore the demand for the information of unseen categories and simply recognize them as "un-known" set without further explanation. This motivates us to understand the unknown categories more specifically by exploring the underlying structures and recovering their interpretable semantic attributes. In this… 
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