Improving Unsupervised Domain Adaptation via Multiple Adversarial Learning

被引:0
|
作者
Cao, Yu-Dong [1 ]
Hang, Shuang-Jiang [1 ]
Jia, Xu [1 ]
机构
[1] School of Electronics and Information Engineering, Liaoning University of Technology, Liaoning Province, Jinzhou city,121001, China
关键词
Compendex;
D O I
10.53106/199115992023103405006
中图分类号
学科分类号
摘要
Learning systems
引用
收藏
页码:73 / 85
相关论文
共 50 条
  • [1] Multiple adversarial networks for unsupervised domain adaptation
    Zhou, Qiang
    Zhou, Wen'an
    Wang, Shirui
    Xing, Ying
    KNOWLEDGE-BASED SYSTEMS, 2021, 212 (212)
  • [2] Adversarial Reinforcement Learning for Unsupervised Domain Adaptation
    Zhang, Youshan
    Ye, Hui
    Davison, Brian D.
    2021 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2021), 2021, : 635 - 644
  • [3] Class Discriminative Adversarial Learning for Unsupervised Domain Adaptation
    Zhou, Lihua
    Ye, Mao
    Zhu, Xiatian
    Li, Shuaifeng
    Liu, Yiguang
    PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2022, 2022, : 4318 - 4326
  • [4] Adversarial Learning and Interpolation Consistency for Unsupervised Domain Adaptation
    Zhao, Xin
    Wang, Shengsheng
    IEEE ACCESS, 2019, 7 : 170448 - 170456
  • [5] Collaborative Adversarial Learning for Unsupervised Federated Domain Adaptation
    Chi, Hao
    Zhang, Yingqi
    Xu, Shuo
    Zhang, Rui
    Xia, Hui
    KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, PT II, KSEM 2024, 2024, 14885 : 346 - 357
  • [6] UNSUPERVISED DOMAIN ADAPTATION VIA DOMAIN ADVERSARIAL TRAINING FOR SPEAKER RECOGNITION
    Wang, Qing
    Rao, Wei
    Sun, Sining
    Xie, Lei
    Chng, Eng Siong
    Li, Haizhou
    2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2018, : 4889 - 4893
  • [7] ContrasGAN: Unsupervised domain adaptation in Human Activity Recognition via adversarial and contrastive learning
    Sanabria, Andrea Rosales
    Zambonelli, Franco
    Dobson, Simon
    Ye, Juan
    PERVASIVE AND MOBILE COMPUTING, 2021, 78
  • [8] Multiple Classifiers Based Adversarial Training for Unsupervised Domain Adaptation
    Yang, Yiju
    Kim, Taejoon
    Wang, Guanghui
    2022 19TH CONFERENCE ON ROBOTS AND VISION (CRV 2022), 2022, : 40 - 47
  • [9] Unsupervised Domain Adaptation for ToF Data Denoising with Adversarial Learning
    Agresti, Gianluca
    Schaefer, Henrik
    Sartor, Piergiorgio
    Zanuttigh, Pietro
    2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 5569 - 5576
  • [10] Joint bi-adversarial learning for unsupervised domain adaptation
    Tian, Qing
    Zhou, Jiazhong
    Chu, Yi
    KNOWLEDGE-BASED SYSTEMS, 2022, 248