Self-Supervison with data-augmentation improves few-shot learning

被引：0
|
作者：
Prashant Kumar
Durga Toshniwal
机构：
[1] Indian Institute of Technology,Department of Computer Science & Engineering
来源：
Applied Intelligence | 2024年 / 54卷 / 4期
关键词：
Few-shot learning; Image classification; Self-supervision; Novel visual categories; Meta-learning; Auxiliary task; Neural network;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：2976 / 2997
页数：21
相关论文
共 50 条
  • [1] Self-Supervison with data-augmentation improves few-shot learning
    Kumar, Prashant
    Toshniwal, Durga
    [J]. APPLIED INTELLIGENCE, 2024, 54 (04) : 2976 - 2997
  • [2] Few-shot learning through contextual data augmentation
    Arthaud, Farid
    Bawden, Rachel
    Birch, Alexandra
    [J]. 16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (EACL 2021), 2021, : 1049 - 1062
  • [3] Few-Shot Learning With Enhancements to Data Augmentation and Feature Extraction
    Zhang, Yourun
    Gong, Maoguo
    Li, Jianzhao
    Feng, Kaiyuan
    Zhang, Mingyang
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024,
  • [4] FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning
    Zhou, Jing
    Zheng, Yanan
    Tang, Jie
    Li, Jian
    Yang, Zhilin
    [J]. PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022), VOL 1: (LONG PAPERS), 2022, : 8646 - 8665
  • [5] Improving Augmentation Efficiency for Few-Shot Learning
    Cho, Wonhee
    Kim, Eunwoo
    [J]. IEEE ACCESS, 2022, 10 : 17697 - 17706
  • [6] Few-shot Partial Multi-label Learning with Data Augmentation
    Sun, Yifan
    Zhao, Yunfeng
    Yu, Guoxian
    Yan, Zhongmin
    Domeniconi, Carlotta
    [J]. 2022 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2022, : 478 - 487
  • [7] Data Augmentation Aided Few-Shot Learning for Specific Emitter Identification
    Zhang, Xixi
    Wang, Yu
    Zhang, Yibin
    Lin, Yun
    Gui, Guan
    Tomoaki, Ohtsuki
    Sari, Hikmet
    [J]. 2022 IEEE 96TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-FALL), 2022,
  • [8] Few-Shot Charge Prediction with Data Augmentation and Feature Augmentation
    Wang, Peipeng
    Zhang, Xiuguo
    Cao, Zhiying
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (22):
  • [9] STraTA: Self-Training with Task Augmentation for Better Few-shot Learning
    Tu Vu
    Minh-Thang Luong
    Le, Quoc, V
    Simon, Grady
    Iyyer, Mohit
    [J]. 2021 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2021), 2021, : 5715 - 5731
  • [10] Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning
    Osahor, Uche
    Nasrabadi, Nasser M.
    [J]. 2022 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2022), 2022, : 2040 - 2049
12345