Proposal-based Segmentation

Proposal-Based Segmentation is a method in instance segmentation that generates region proposals to localize individual object instances before performing pixel-level segmentation, distinguishing itself from proposal-free approaches by its reliance on candidate regions to guide the segmentation process.

27

Publications

10.3K

Citations

83

Authors

37

Institutions

Publications per year

2017–2026

19

Authors

83

  1. SL
    Shu Liu

    Chinese University of Hong Kong, Hong Kong SAR China

    5 publications · 9.2K citations

    5

    h-index

  2. XL
    Xiaodan Liang

    Sun Yat-sen University, China

    4 publications · 350 citations

    4

    h-index

  3. SY
    Shuicheng Yan

    National University of Singapore, Singapore

    4 publications · 350 citations

    4

    h-index

  4. LL
    Liang Lin

    Sun Yat-sen University, China

    4 publications · 350 citations

    4

    h-index

  5. XS
    Xiaohui Shen

    Adobe Systems (United States), United States

    4 publications · 350 citations

    4

    h-index

1–5 of 83

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 561 citations

    7

    h-index

  2. 2

    h-index

  3. Expert Systems with Applications

    1 publications · 12 citations

    1

    h-index

  4. IEEE Transactions on Image Processing

    1 publications · 17 citations

    1

    h-index

  5. 1

    h-index

1–5