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
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
  • [21] scPretrain: multi-task self-supervised learning for cell-type classification
    Zhang, Ruiyi
    Luo, Yunan
    Ma, Jianzhu
    Zhang, Ming
    Wang, Sheng
    BIOINFORMATICS, 2022, 38 (06) : 1607 - 1614
  • [22] Multi-task self-supervised learning based fusion representation for Multi-view clustering
    Guo, Tianlong
    Shen, Derong
    Kou, Yue
    Nie, Tiezheng
    INFORMATION SCIENCES, 2025, 694
  • [23] Multi-Task Collaborative Network: Bridge the Supervised and Self-Supervised Learning for EEG Classification in RSVP Tasks
    Li, Hongxin
    Tang, Jingsheng
    Li, Wenqi
    Dai, Wei
    Liu, Yaru
    Zhou, Zongtan
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2024, 32 : 638 - 651
  • [24] TacoPrompt: A Collaborative Multi-Task Prompt Learning Method for Self-Supervised Taxonomy Completion
    Xu, Hongyuan
    Liu, Ciyi
    Niu, Yuhang
    Chen, Yunong
    Cai, Xiangrui
    Wen, Yanlong
    Yuan, Xiaojie
    2023 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2023), 2023, : 15804 - 15817
  • [25] MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations
    Heggan, Calum
    Hospedales, Tim
    Budgett, Sam
    Yaghoobi, Mehrdad
    INTERSPEECH 2023, 2023, : 4399 - 4403
  • [26] Multi-task Self-supervised Object Detection via Recycling of Bounding Box Annotations
    Lee, Wonhee
    Na, Joonil
    Kim, Gunhee
    2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 4979 - 4988
  • [27] Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis
    Yu, Wenmeng
    Xu, Hua
    Yuan, Ziqi
    Wu, Jiele
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 10790 - 10797
  • [28] Self-Supervised Multi-Task Pretraining Improves Image Aesthetic Assessment
    Pfister, Jan
    Kobs, Konstantin
    Hotho, Andreas
    2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2021, 2021, : 816 - 825
  • [29] ProteinGLUE multi-task benchmark suite for self-supervised protein modeling
    Henriette Capel
    Robin Weiler
    Maurits Dijkstra
    Reinier Vleugels
    Peter Bloem
    K. Anton Feenstra
    Scientific Reports, 12
  • [30] GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
    Li, Yang
    Chen, Ji
    Li, Fu
    Fu, Boxun
    Wu, Hao
    Ji, Youshuo
    Zhou, Yijin
    Niu, Yi
    Shi, Guangming
    Zheng, Wenming
    IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 14 (03) : 2512 - 2525