Category-aware Instance Segmentation

Category-Aware Instance Segmentation is an instance segmentation paradigm that, as a semantic-aware extension of basic instance segmentation, explicitly incorporates class category information to differentiate object instances not only by spatial location but also by semantic class, thereby enabling fine-grained identification and separation of objects within complex scenes.

63

Publications

5.8K

Citations

281

Authors

92

Institutions

Publications per year

2017–2026

59

Authors

281

  1. YW
    Yunchao Wei

    Beijing Jiaotong University, China

    4 publications · 558 citations

    4

    h-index

  2. CS
    Chunhua Shen

    The University of Adelaide, Australia

    4 publications · 504 citations

    4

    h-index

  3. XW
    Xinlong Wang

    Nanjing University, China

    4 publications · 504 citations

    4

    h-index

  4. JJ
    Jiaya Jia

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 385 citations

    3

    h-index

  5. ZS
    Zhenwei Shi

    Beihang University, China

    3 publications · 340 citations

    3

    h-index

1–5 of 281

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 580 citations

    12

    h-index

  2. 3

    h-index

  3. IEEE Transactions on Image Processing

    2 publications · 102 citations

    2

    h-index

  4. 2

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 84 citations

    2

    h-index

1–5