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

Rundong Yang; Yancong Deng; Anqi Zhu; Xin Tong; Zhihao Chen

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

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@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.

Keywords: Few shot learning Meta learning MAML Digit detection

Published: 2021-07-16
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-73429-9_6