Mask Scoring

Mask Scoring is a methodological framework in instance segmentation that refines mask quality assessment by explicitly learning to assign a confidence score to predicted segmentation masks, thereby distinguishing accurate masks from erroneous ones through a dedicated scoring network.

17

Publications

2.2K

Citations

77

Authors

31

Institutions

Publications per year

2017–2026

17

Authors

77

  1. CH
    Chang Huang

    Northwest University, China

    2 publications · 1.1K citations

    2

    h-index

  2. XW
    Xinggang Wang

    Huazhong University of Science and Technology, China

    2 publications · 1.1K citations

    2

    h-index

  3. ZH
    Zhaojin Huang

    Horizon Robotics (China)

    2 publications · 1.1K citations

    2

    h-index

  4. LH
    Lichao Huang

    Horizon Robotics (China)

    2 publications · 1.1K citations

    2

    h-index

  5. YG
    Yongchao Gong

    Horizon Robotics (China)

    2 publications · 1.1K citations

    2

    h-index

1–5 of 77

Venues

  1. Frontiers in Plant Science

    2 publications · 59 citations

    2

    h-index

  2. Chinese Journal of Aeronautics

    CJA · 1 publications · 50 citations

    1

    h-index

  3. Expert Systems with Applications

    1 publications · 48 citations

    1

    h-index

  4. Electronics

    1 publications · 17 citations

    1

    h-index

  5. Medical Physics

    1 publications · 117 citations

    1

    h-index

1–5