Boundary-aware Segmentation

Boundary-Aware Segmentation is a semantic segmentation method that enhances pixel-level classification accuracy by explicitly modeling object boundary information to distinguish between adjacent instances and improve segmentation coherence.

262

Publications

33.1K

Citations

1.1K

Authors

390

Institutions

Publications per year

2017–2026

190

Authors

1.1K

  1. CP
    Chao Peng

    Megvii (China)

    4 publications · 2.7K citations

    4

    h-index

  2. AF
    Aaron Fenster

    Western University, Canada

    3 publications · 258 citations

    3

    h-index

  3. DB
    Dónal B. Downey

    Western University, Canada

    3 publications · 258 citations

    3

    h-index

  4. CY
    Changqian Yu

    Huazhong University of Science and Technology, China

    3 publications · 1K citations

    3

    h-index

  5. YZ
    Yao Zhao

    Beijing Jiaotong University, China

    3 publications · 128 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. arXiv (Cornell University)

    Repository · 17 publications · 5.2K citations

    13

    h-index

  2. IEEE Transactions on Medical Imaging

    12 publications · 881 citations

    12

    h-index

  3. IEEE Transactions on Image Processing

    9 publications · 594 citations

    9

    h-index

  4. IEEE Access

    7 publications · 216 citations

    7

    h-index

  5. Remote Sensing

    7 publications · 354 citations

    7

    h-index

1–5