Pseudo-label based semi-supervised learning in the distributed machine learning framework

被引:0
|
作者
Wang, Xiaoxi [1 ]
Wu, Wenjun [1 ]
Yang, Feng [1 ]
Si, Pengbo [1 ]
Zhang, Xuanyi [2 ]
Zhang, Yanhua [1 ]
机构
[1] Faculty of Information Technology, Beijing University of Technology, Beijing,100124, China
[2] Beijing Capital International Airport Co., Ltd., Beijing,101317, China
关键词
20;
D O I
10.3772/j.issn.1006-6748.2022.02.007
中图分类号
学科分类号
摘要
引用
收藏
页码:172 / 180
相关论文
共 50 条
  • [1] Pseudo-label based semi-supervised learning in the distributed machine learning framework
    王晓曦
    WU Wenjun
    YANG Feng
    SI Pengbo
    ZHANG Xuanyi
    ZHANG Yanhua
    [J]. High Technology Letters, 2022, 28 (02) : 172 - 180
  • [2] Pseudo-label semi-supervised learning for soybean monitoring
    Menezes, Gabriel Kirsten
    Astolfi, Gilberto
    Martins, Jose Augusto Correa
    Tetila, Everton Castelao
    Oliveira Jr, Adair da Silva
    Goncalves, Diogo Nunes
    Marcato Jr, Jose
    Silva, Jonathan Andrade
    Li, Jonathan
    Goncalves, Wesley Nunes
    Pistori, Hemerson
    [J]. SMART AGRICULTURAL TECHNOLOGY, 2023, 4
  • [3] Naive semi-supervised deep learning using pseudo-label
    Zhun Li
    ByungSoo Ko
    Ho-Jin Choi
    [J]. Peer-to-Peer Networking and Applications, 2019, 12 : 1358 - 1368
  • [4] Naive semi-supervised deep learning using pseudo-label
    Li, Zhun
    Ko, ByungSoo
    Choi, Ho-Jin
    [J]. PEER-TO-PEER NETWORKING AND APPLICATIONS, 2019, 12 (05) : 1358 - 1368
  • [5] Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning
    Min, Zeping
    Bai, Jinfeng
    Li, Chengfei
    [J]. THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 13, 2024, : 14370 - 14378
  • [6] Pseudo-label Guided Contrastive Learning for Semi-supervised Medical Image Segmentation
    Basak, Hritam
    Yin, Zhaozheng
    [J]. 2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2023, : 19786 - 19797
  • [7] Polite Teacher: Semi-Supervised Instance Segmentation With Mutual Learning and Pseudo-Label Thresholding
    Filipiak, Dominik
    Zapala, Andrzej
    Tempczyk, Piotr
    Fensel, Anna
    Cygan, Marek
    [J]. IEEE ACCESS, 2024, 12 : 37744 - 37756
  • [8] Multi-Task Credible Pseudo-Label Learning for Semi-Supervised Crowd Counting
    Zhu, Pengfei
    Li, Jingqing
    Cao, Bing
    Hu, Qinghua
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 35 (08) : 10394 - 10406
  • [9] Federated Semi-Supervised Learning for Medical Image Segmentation via Pseudo-Label Denoising
    Qiu, Liang
    Cheng, Jierong
    Gao, Huxin
    Xiong, Wei
    Ren, Hongliang
    [J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023, 27 (10) : 4672 - 4683
  • [10] Evidential Pseudo-Label Ensemble for semi-supervised classification
    Wang, Kai
    Zhang, Changqing
    Geng, Yu
    Ma, Huan
    [J]. PATTERN RECOGNITION LETTERS, 2024, 177 : 135 - 141