Scene Hierarchy Learning

Scene Hierarchy Learning is a machine learning framework within scene classification that explicitly models hierarchical relationships among scene categories to improve contextual understanding and classification accuracy by leveraging multi-level semantic structures.

22

Publications

1.9K

Citations

68

Authors

32

Institutions

Publications per year

2017–2026

6

Authors

68

  1. KX
    Kai Xu

    National University of Defense Technology, China

    3 publications · 270 citations

    3

    h-index

  2. SC
    Siddhartha Chaudhuri

    Indian Institute of Technology Bombay, India

    3 publications · 309 citations

    3

    h-index

  3. CY
    Ceyuan Yang

    Chinese University of Hong Kong, Hong Kong SAR China

    2 publications · 226 citations

    2

    h-index

  4. LF
    Li Fei-Fei

    Stanford University, United States

    2 publications · 526 citations

    2

    h-index

  5. AG
    Akshay Gadi Patil

    Simon Fraser University, Canada

    2 publications · 240 citations

    2

    h-index

1–5 of 68

Venues

  1. 2009 IEEE Conference on Computer Vision and Pattern Recognition

    Conference · 3 publications · 558 citations

    3

    h-index

  2. International Journal of Computer Vision

    2 publications · 258 citations

    2

    h-index

  3. ACM Transactions on Graphics

    TOG · 2 publications · 259 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 92 citations

    2

    h-index

  5. International Journal of Image and Graphics

    IJIG · 1 publications · 14 citations

    1

    h-index

1–5