Hierarchical Scene Classification

Hierarchical Scene Classification is a scene classification paradigm that organizes categories into a multi-level structure to exploit semantic relationships among scenes, thereby enabling more nuanced and contextually informed scene recognition compared to flat classification approaches.

38

Publications

3.4K

Citations

126

Authors

63

Institutions

Publications per year

2017–2026

13

Authors

126

  1. GM
    Giovanni Maria Farinella

    University of Catania, Italy

    2 publications · 52 citations

    2

    h-index

  2. LL
    Li-Jia Li

    Stanford University, United States

    2 publications · 526 citations

    2

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  3. LZ
    Liangpei Zhang

    Wuhan University, China

    2 publications · 489 citations

    2

    h-index

  4. SB
    Sebastiano Battiato

    University of Catania, Italy

    2 publications · 52 citations

    2

    h-index

  5. SS
    Silvio Savarese

    Stanford University, United States

    2 publications · 200 citations

    2

    h-index

1–5 of 126

Venues

  1. 3

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  2. 2

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  3. arXiv (Cornell University)

    Repository · 2 publications · 159 citations

    2

    h-index

  4. 2009 IEEE Conference on Computer Vision and Pattern Recognition

    Conference · 2 publications · 526 citations

    2

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 1 publications · 378 citations

    1

    h-index

1–5