Fine-grained Scene Classification

Fine-Grained Scene Classification is a specialized form of image scene classification that distinguishes between subordinate categories of scenes with high visual similarity, requiring the identification of subtle semantic differences within a narrow domain rather than broad contextual environments.

85

Publications

21.6K

Citations

323

Authors

149

Institutions

Publications per year

2017–2026

57

Authors

323

  1. SB
    Serge Belongie

    University of California San Diego, United States

    3 publications · 606 citations

    3

    h-index

  2. RO
    Richard O. Duda

    SRI International, United States

    3 publications · 8.8K citations

    3

    h-index

  3. PE
    Peter E. Hart

    SRI International, United States

    3 publications · 8.8K citations

    3

    h-index

  4. XB
    Xiang Bai

    Huazhong University of Science and Technology, China

    3 publications · 125 citations

    3

    h-index

  5. YX
    Yongchao Xu

    Huazhong University of Science and Technology, China

    2 publications · 95 citations

    2

    h-index

1–5 of 323

Venues

  1. Pattern Recognition

    9 publications · 920 citations

    9

    h-index

  2. Neurocomputing

    8 publications · 295 citations

    8

    h-index

  3. Pattern Recognition Letters

    4 publications · 234 citations

    4

    h-index

  4. arXiv (Cornell University)

    Repository · 4 publications · 488 citations

    4

    h-index

  5. Multimedia Tools and Applications

    2 publications · 30 citations

    2

    h-index

1–5