Saliency-guided Segmentation

Saliency-Guided Segmentation is a segmentation framework that employs saliency detection as a guiding mechanism to prioritize and refine the delineation of salient objects or regions within an image.

134

Publications

7.7K

Citations

512

Authors

225

Institutions

Publications per year

2017–2026

85

Authors

512

  1. LN
    Laurent Najman

    Laboratoire d'Informatique Gaspard-Monge, France

    4 publications · 173 citations

    4

    h-index

  2. JS
    Jianbing Shen

    Beijing Institute of Technology, China

    3 publications · 639 citations

    3

    h-index

  3. TG
    Thierry Géraud

    École Pour l'Informatique et les Techniques Avancées, France

    3 publications · 102 citations

    3

    h-index

  4. WW
    Wenguan Wang

    Beijing Institute of Technology, China

    3 publications · 845 citations

    3

    h-index

  5. MF
    Michael Fulham

    Royal Prince Alfred Hospital, Australia

    2 publications · 221 citations

    2

    h-index

1–5 of 512

Venues

  1. IEEE Transactions on Image Processing

    8 publications · 522 citations

    8

    h-index

  2. Neurocomputing

    8 publications · 263 citations

    7

    h-index

  3. IEEE Access

    6 publications · 251 citations

    6

    h-index

  4. Pattern Recognition Letters

    4 publications · 130 citations

    4

    h-index

  5. Biomedical Signal Processing and Control

    3 publications · 100 citations

    3

    h-index

1–5