Few-shot Segmentation

Few-Shot Segmentation is a specialized image segmentation framework that enables the precise delineation of object regions in a target image by learning from a small set of annotated support examples, typically limited to one or few instances per object category.

209

Publications

15.3K

Citations

830

Authors

272

Institutions

Publications per year

2017–2026

209

Authors

830

  1. GL
    Guosheng Lin

    Nanyang Technological University, Singapore

    12 publications · 1.3K citations

    12

    h-index

  2. JH
    Junwei Han

    Northwestern Polytechnical University, China

    11 publications · 1.2K citations

    11

    h-index

  3. GC
    Gong Cheng

    Northwestern Polytechnical University, China

    9 publications · 1K citations

    9

    h-index

  4. CL
    Chunbo Lang

    Northwestern Polytechnical University, China

    8 publications · 949 citations

    8

    h-index

  5. FL
    Fayao Liu

    Nanyang Technological University, Singapore

    7 publications · 1K citations

    7

    h-index

1–5 of 830

Venues

  1. arXiv (Cornell University)

    Repository · 31 publications · 1.2K citations

    19

    h-index

  2. Medical Image Analysis

    9 publications · 629 citations

    9

    h-index

  3. 8

    h-index

  4. IEEE Transactions on Multimedia

    7 publications · 299 citations

    7

    h-index

  5. IEEE Transactions on Image Processing

    7 publications · 270 citations

    7

    h-index

1–5