Unsupervised Domain Adaptation via Contrastive Learning and Complementary Region-Class Mixing

被引：0
|
作者：
Li, Xiaojing [1 ]
Zhou, Wei [1 ]
Jiang, Mingjian [1 ]
机构：
[1] Qingdao University of Technology, School of Information and Control Engineering, Qingdao,266520, China
来源：
IEEE Access | 2024年 / 12卷
关键词：
Compendex;
D O I：
10.1109/ACCESS.2024.3514613
中图分类号：
学科分类号：
摘要：
Contrastive Learning
引用
下载
收藏
页码：193284 / 193298
相关论文
共 50 条
  • [41] Unsupervised domain adaptation via progressive positioning of target-class prototypes
    Du, Yongjie
    Zhou, Ying
    Xie, Yu
    Zhou, Deyun
    Shi, Jiao
    Lei, Yu
    KNOWLEDGE-BASED SYSTEMS, 2023, 273
  • [42] Semi-supervised Domain Adaptation via Joint Contrastive Learning with Sensitivity
    Tu, Keyu
    Wang, Zilei
    Li, Junjie
    Zhang, Yixin
    PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2023, 2023, : 5645 - 5654
  • [43] Unsupervised domain adaptation via re-weighted transfer subspace learning with inter-class sparsity
    Yang, Liran
    Lu, Bin
    Zhou, Qinghua
    Su, Pan
    KNOWLEDGE-BASED SYSTEMS, 2023, 263
  • [44] ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing
    Mattolin, Giulio
    Zanella, Luca
    Ricci, Elisa
    Wang, Yiming
    2023 IEEE/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2023, : 423 - 433
  • [45] Target Structure Learning Framework for Unsupervised Multi-Class Domain Adaptation
    Li, Jingzheng
    Sun, Hailong
    Chai, Lei
    Li, Jiyi
    ACM Transactions on Multimedia Computing, Communications and Applications, 2024, 20 (11)
  • [46] Cycle-reconstructive subspace learning with class discriminability for unsupervised domain adaptation
    Xu, Yayun
    Yan, Hua
    PATTERN RECOGNITION, 2022, 129
  • [47] Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation
    Zhang, Yixin
    Wang, Zilei
    He, Weinan
    2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR, 2023, : 7619 - 7629
  • [48] Transferrable Contrastive Learning for Visual Domain Adaptation*
    Chen, Yang
    Pan, Yingwei
    Wang, Yu
    Yao, Ting
    Tian, Xinmei
    Mei, Tao
    PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021, 2021, : 3399 - 3408
  • [49] Unsupervised domain adaptation for semantic segmentation via cross-region alignment
    Wang, Zhijie
    Liu, Xing
    Suganuma, Masanori
    Okatani, Takayuki
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2023, 234
  • [50] Adversarial domain adaptation using contrastive learning
    Azuma, Chiori
    Ito, Tomoyoshi
    Shimobaba, Tomoyoshi
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 123
12345