Object Segmentation

Object Segmentation is a computational method in visual perception that identifies and delineates distinct objects within a scene by grouping perceptual elements according to structural and contextual regularities, thereby enabling object-based attention and perceptual organization.

2.3K

Publications

230K

Citations

6.1K

Authors

1.5K

Institutions

Publications per year

2017–2026

1.1K

Authors

6.1K

  1. LV
    Luc Van Gool

    ETH Zurich, Switzerland

    24 publications · 12.4K citations

    19

    h-index

  2. WW
    Wenguan Wang

    Beijing Institute of Technology, China

    18 publications · 3.7K citations

    18

    h-index

  3. RG
    Ross Girshick

    Meta (Israel), Israel

    14 publications · 48.1K citations

    14

    h-index

  4. PH
    Philip H. S. Torr

    University of Oxford, United Kingdom

    16 publications · 6.2K citations

    14

    h-index

  5. BL
    Bastian Leibe

    RWTH Aachen University, Germany

    13 publications · 922 citations

    13

    h-index

1–5 of 6.1K

Venues

  1. arXiv (Cornell University)

    Repository · 156 publications · 19.4K citations

    44

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 72 publications · 14.6K citations

    43

    h-index

  3. IEEE Transactions on Image Processing

    68 publications · 3.6K citations

    32

    h-index

  4. 30

    h-index

  5. IEEE Transactions on Multimedia

    30 publications · 1.7K citations

    22

    h-index

1–5