Adaptive Refining-Aggregation-Separation Framework for Unsupervised Domain Adaptation Semantic Segmentation

Author:

Cao Yihong1ORCID,Zhang Hui2ORCID,Lu Xiao3ORCID,Chen Yurong2ORCID,Xiao Zheng1ORCID,Wang Yaonan2ORCID

Affiliation:

1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China

2. National Engineering Research Center of Robot Vision Perception and Control, School of Robotics, Hunan University, Changsha, China

3. College of Engineering and Design, Hunan Normal University, Changsha, China

Funder

National Key Research and Development Program of China

Major Research Plan of the National Natural Science Foundation of China

National Natural Science Foundation of China

Hunan Leading Talent of Technological Innovation

Hunan Science Fund for Distinguished Young Scholars

Hunan Key Research and Development Program

Chang sha Science and Technology Major Project

Joint Open Foundation of State Key Laboratory of Robotics

China University Industry-University-Research Innovation Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Reference53 articles.

1. Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification

2. Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation

3. Road scenes segmentation across different domains by disentangling latent representations;barbato;arXiv 2108 03021,2021

4. Unsupervised Domain Adaptation Network With Category-Centric Prototype Aligner for Biomedical Image Segmentation

5. Visualizing data using t-SNE;van der maaten;J Mach Learn Res,2008

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