Clustering Environment Aware Learning for Active Domain Adaptation-Reference-Cited by-同舟云学术

Clustering Environment Aware Learning for Active Domain Adaptation

Author:

Zhu Jian¹^ORCID,Chen Xinyu¹^ORCID,Hu Qintai¹^ORCID,Xiao Yutang²^ORCID,Wang Boyu³^ORCID,Sheng Bin⁴^ORCID,Chen C. L. Philip⁵^ORCID

Affiliation:

1. School of Computer Science, Guangdong University of Technology, Guangzhou, China

2. School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, China

3. Department of Computer Science and the Brain Mind Institute, University of Western Ontario, London, ON, Canada

4. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

5. School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China

Funder

National Natural Science Foundation of China (NSFC) for Key Program

Key Area Science and Technology Plan in Nansha District of Guangzhou

National Key Research and Development Program of China

NSFC for Excellent Young Scholars

NSFC for General Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference62 articles.

1. Deep domain confusion: Maximizing for domain invariance;Tzeng;arXiv:1412.3474,2014

2. CyCADA: Cycle-consistent adversarial domain adaptation;Hoffman

4. On learning invariant representations for domain adaptation;Zhao