Few-shot Scene Classification

Few-Shot Scene Classification is a scene classification paradigm that belongs to the broader category of few-shot learning, distinguished by its focus on recognizing geographic or environmental scenes from a limited number of labeled examples per class.

55

Publications

2.6K

Citations

200

Authors

61

Institutions

Publications per year

2017–2026

55

Authors

200

  1. WH
    Wendong Huang

    Chongqing University of Posts and Telecommunications, China

    5 publications · 142 citations

    5

    h-index

  2. ZY
    Zhengwu Yuan

    Chongqing University of Posts and Telecommunications, China

    5 publications · 142 citations

    5

    h-index

  3. JG
    Jie Geng

    Northwestern Polytechnical University, China

    5 publications · 213 citations

    5

    h-index

  4. PZ
    Pei Zhang

    Northwestern Polytechnical University, China

    5 publications · 169 citations

    5

    h-index

  5. YL
    Ying Li

    Northwestern Polytechnical University, China

    4 publications · 142 citations

    4

    h-index

1–5 of 200

Venues

  1. 15

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  2. Remote Sensing

    13 publications · 436 citations

    12

    h-index

  3. IEEE Geoscience and Remote Sensing Letters

    GRSL · 3 publications · 82 citations

    3

    h-index

  4. 2

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  5. 2

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1–5