Semantic Segmentation

Semantic Segmentation is a computer vision and robot perception task of image segmentation in which each pixel of an image is assigned a semantic class label, yielding a dense per-pixel classification of the scene without distinguishing between different instances of the same class.

10.8K

Publications

1M

Citations

27.3K

Authors

4K

Institutions

Publications per year

2017–2026

8.4K

Authors

27.3K

  1. CS
    Chunhua Shen

    The University of Adelaide, Australia

    71 publications · 21.8K citations

    45

    h-index

  2. YW
    Yunchao Wei

    Beijing Jiaotong University, China

    63 publications · 11.6K citations

    39

    h-index

  3. LV
    Luc Van Gool

    ETH Zurich, Switzerland

    63 publications · 8.4K citations

    37

    h-index

  4. AY
    Alan Yuille

    Johns Hopkins University, United States

    46 publications · 38.6K citations

    34

    h-index

  5. JJ
    Jiaya Jia

    Chinese University of Hong Kong, Hong Kong SAR China

    46 publications · 18.7K citations

    34

    h-index

1–5 of 27.3K

Venues

  1. arXiv (Cornell University)

    Repository · 936 publications · 88.7K citations

    115

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 177 publications · 62.1K citations

    77

    h-index

  3. Remote Sensing

    339 publications · 18.9K citations

    69

    h-index

  4. IEEE Transactions on Geoscience and Remote Sensing

    216 publications · 14.6K citations

    67

    h-index

  5. Pattern Recognition

    226 publications · 17.8K citations

    66

    h-index

1–5