Indoor Scene Classification

Indoor Scene Classification is a subfield of scene classification that focuses on the categorization of images or visual data specifically depicting enclosed human-made environments, distinguishing it from outdoor or natural scene classification by its emphasis on indoor structural and contextual features.

99

Publications

5.1K

Citations

295

Authors

149

Institutions

Publications per year

2017–2026

49

Authors

295

  1. JL
    Jiebo Luo

    University of Rochester, United States

    4 publications · 258 citations

    4

    h-index

  2. AS
    Andreas Savakis

    Rochester Institute of Technology, United States

    4 publications · 170 citations

    4

    h-index

  3. YC
    Yanhua Cheng

    Chinese Academy of Sciences, China

    3 publications · 85 citations

    3

    h-index

  4. TT
    Tieniu Tan

    Institute of Automation, China

    3 publications · 85 citations

    3

    h-index

  5. YL
    Yabei Li

    University of Chinese Academy of Sciences, China

    3 publications · 85 citations

    3

    h-index

1–5 of 295

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 179 citations

    5

    h-index

  2. Pattern Recognition

    4 publications · 308 citations

    4

    h-index

  3. Applied Sciences

    3 publications · 47 citations

    3

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 46 citations

    3

    h-index

  5. Expert Systems with Applications

    3 publications · 184 citations

    3

    h-index

1–5