Multi-task self-supervised learning for human activity detection

被引：183
|
作者：
Saeed, Aaqib [1 ]
Ozcelebi, Tanir [1 ]
Lukkien, Johan [1 ]
机构：
[1] Eindhoven University of Technology, Eindhoven, Netherlands
来源：
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies | 2019年 / 3卷 / 02期
关键词：
461.4 Ergonomics and Human Factors Engineering - 716.1 Information Theory and Signal Processing - 718.1 Telephone Systems and Equipment - 723.5 Computer Applications;
D O I：
10.1145/3328932
中图分类号：
学科分类号：
摘要：
74
引用
收藏
相关论文
共 50 条
  • [41] Considering three elements of aesthetics: Multi-task self-supervised feature learning for image style classification
    Zhang, Hua
    Luo, Yizhang
    Zhang, Lingjun
    Wu, Yifan
    Wang, Muwei
    Shen, Zhuonan
    NEUROCOMPUTING, 2023, 520 : 262 - 273
  • [42] MS2L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition
    Lin, Lilang
    Song, Sijie
    Yang, Wenhan
    Liu, Jiaying
    MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, 2020, : 2490 - 2498
  • [43] Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation
    Chamanzar, Alireza
    Nie, Yao
    2020 IEEE 17TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2020), 2020, : 513 - 516
  • [44] GIAD-ST: Detecting anomalies in human monitoring based on generative inpainting via self-supervised multi-task learning
    Dong, Ning
    Suzuki, Einoshin
    JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 2022, 59 (03) : 733 - 754
  • [45] GIAD-ST: Detecting anomalies in human monitoring based on generative inpainting via self-supervised multi-task learning
    Ning Dong
    Einoshin Suzuki
    Journal of Intelligent Information Systems, 2022, 59 : 733 - 754
  • [46] Weakly Supervised Multi-Task Representation Learning for Human Activity Analysis Using Wearables
    Sheng, Taoran
    Huber, Manfred
    PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT, 2020, 4 (02):
  • [47] Self-Supervised Learning and Multi-Task Pre-Training Based Single-Channel Acoustic Denoising
    Li, Yi
    Sun, Yang
    Naqvi, Syed Mohsen
    2022 IEEE INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT SYSTEMS (MFI), 2022,
  • [48] Task-Oriented Self-supervised Learning for Anomaly Detection in Electroencephalography
    Zheng, Yaojia
    Liu, Zhouwu
    Mo, Rong
    Chen, Ziyi
    Zheng, Wei-Shi
    Wang, Ruixuan
    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT VIII, 2022, 13438 : 193 - 203
  • [49] TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning
    Qu, Linhao
    Liu, Shaolei
    Wang, Manning
    Song, Zhijian
    THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2022, : 2126 - 2134
  • [50] Dysarthric Speech Recognition Using Pseudo-Labeling, Self-Supervised Feature Learning, and a Joint Multi-Task Learning Approach
    Takashima, Ryoichi
    Sawa, Yuya
    Aihara, Ryo
    Takiguchi, Tetsuya
    Imai, Yoshie
    IEEE ACCESS, 2024, 12 : 36990 - 36999
12345