Pixel-wise Classification

Pixel-Wise Classification is a pixel-level semantic labeling task in computer vision that assigns a categorical class label to each individual pixel in an image, distinguishing it from other image-level or region-level interpretation methods by operating at the finest granular spatial resolution.

1.1K

Publications

84.2K

Citations

4.1K

Authors

1.3K

Institutions

Publications per year

2017–2026

607

Authors

4.1K

  1. JC
    Jocelyn Chanussot

    Institut polytechnique de Grenoble, France

    10 publications · 2.7K citations

    10

    h-index

  2. JA
    Jón Atli Benediktsson

    University of Iceland, Iceland

    6 publications · 1.7K citations

    6

    h-index

  3. CP
    Claudio Persello

    University of Twente, Netherlands

    6 publications · 394 citations

    6

    h-index

  4. YT
    Yuliya Tarabalka

    Institut national de recherche en sciences et technologies du numérique, France

    6 publications · 1.6K citations

    6

    h-index

  5. UM
    Ujjwal Maulik

    Jadavpur University, India

    6 publications · 353 citations

    6

    h-index

1–5 of 4.1K

Venues

  1. Remote Sensing

    74 publications · 3.6K citations

    34

    h-index

  2. arXiv (Cornell University)

    Repository · 50 publications · 5.5K citations

    31

    h-index

  3. 29

    h-index

  4. International Journal of Remote Sensing

    34 publications · 2.3K citations

    23

    h-index

  5. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 22 publications · 4.1K citations

    20

    h-index

1–5