Edge Computing and IoT: Systems, Management and Security. First EAI International Conference, ICECI 2020, Virtual Event, November 6, 2020, Proceedings

Research Article

Few Shot Learning Based on the Street View House Numbers (SVHN) Dataset

  • @INPROCEEDINGS{10.1007/978-3-030-73429-9_6,
        author={Rundong Yang and Yancong Deng and Anqi Zhu and Xin Tong and Zhihao Chen},
        title={Few Shot Learning Based on the Street View House Numbers (SVHN) Dataset},
        proceedings={Edge Computing and IoT: Systems, Management and Security. First EAI International Conference, ICECI 2020, Virtual Event, November 6, 2020, Proceedings},
        proceedings_a={ICECI},
        year={2021},
        month={7},
        keywords={Few shot learning Meta learning MAML Digit detection},
        doi={10.1007/978-3-030-73429-9_6}
    }
    
  • Rundong Yang
    Yancong Deng
    Anqi Zhu
    Xin Tong
    Zhihao Chen
    Year: 2021
    Few Shot Learning Based on the Street View House Numbers (SVHN) Dataset
    ICECI
    Springer
    DOI: 10.1007/978-3-030-73429-9_6
Rundong Yang1, Yancong Deng2, Anqi Zhu3, Xin Tong4, Zhihao Chen5
  • 1: Hebei University of Technology
  • 2: University of California
  • 3: University of New South Wales
  • 4: University of Illinois at Urbana Champaign
  • 5: Shanghai University

Abstract

In recent years, deep learning model has made remarkable achievements in image, voice, text recognition and other fields. However, deep learning model relies heavily on large number of labeled data, which limits its application in the special field of data shortage.