Class-agnostic Instance Segmentation

Class-Agnostic Instance Segmentation is an instance segmentation paradigm that identifies and delineates individual object instances in an image without assigning semantic class labels, thereby focusing solely on instance separation independent of object categories.

37

Publications

5.1K

Citations

139

Authors

49

Institutions

Publications per year

2017–2026

34

Authors

139

  1. CS
    Chunhua Shen

    The University of Adelaide, Australia

    3 publications · 807 citations

    3

    h-index

  2. KW
    Kelvin Wong

    Methodist Hospital, United States

    2 publications · 73 citations

    2

    h-index

  3. LZ
    Li Zhang

    Tsinghua University, China

    2 publications · 1.6K citations

    2

    h-index

  4. ME
    Mahmoud Ewaisha

    Zewail City of Science and Technology, Egypt

    2 publications · 24 citations

    2

    h-index

  5. ZZ
    Zhengxia Zou

    Beihang University, China

    2 publications · 309 citations

    2

    h-index

1–5 of 139

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 1.1K citations

    11

    h-index

  2. IEEE Robotics and Automation Letters

    3 publications · 51 citations

    3

    h-index

  3. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 2 publications · 112 citations

    2

    h-index

  4. 2

    h-index

  5. mediaTUM (Technical University of Munich)

    Repository · 1 publications · 69 citations

    1

    h-index

1–5