64 citations · 68 across the 3 of their papers we have counts for
3 papers
cs.CV2018
Importance Weighted Adversarial Nets for Partial Domain Adaptation
Jing Zhang, Zewei Ding, Wanqing Li +1
This paper proposes an importance weighted adversarial nets-based method for unsupervised domain adaptation, specific for partial domain adaptation where the target domain has less…
cs.CV2018
Unsupervised Domain Adaptation: A Multi-task Learning-based Method
Jing Zhang, Wanqing Li, Philip Ogunbona
This paper presents a novel multi-task learning-based method for unsupervised domain adaptation. Specifically, the source and target domain classifiers are jointly learned by consi…
cs.CV2017★ 64 cited
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
Jing Zhang, Wanqing Li, Philip Ogunbona
This paper presents a novel unsupervised domain adaptation method for cross-domain visual recognition. We propose a unified framework that reduces the shift between domains both st…