Yanxia Liu — accepted AI-conference papers

2022

Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation

Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu +1

ECCV 2022poster

"This paper studies a new, practical but challenging problem, called Class-Incremental Unsupervised Domain Adaptation (CI-UDA), where the labeled source domain contains all classes, but the classes in the unlabeled target domain increase sequentially. This problem is challenging due to two difficult…

Cited by 54 Source ↗PDF ↗code ↗Scholar ↗

2021

Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation

Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du +1

IJCAI 2021poster

We study a practical domain adaptation task, called source-free unsupervised domain adaptation (UDA) problem, in which we cannot access source domain data due to data privacy issues but only a pre-trained source model and unlabeled target data are available. This task, however, is very difficult du…

Cited by 191 Source ↗PDF ↗code ↗Scholar ↗