Image-based Scene Recognition

Image-Based Scene Recognition is a computational method that identifies the semantic category of a scene from visual information in an image by analyzing pixel-level data and spatial configurations without reliance on additional contextual or non-visual cues.

254

Publications

57.1K

Citations

723

Authors

304

Institutions

Publications per year

2017–2026

87

Authors

723

  1. JM
    Jitendra Malik

    University of California, Berkeley, United States

    6 publications · 1.2K citations

    6

    h-index

  2. AT
    Antonio Torralba

    Massachusetts Institute of Technology, United States

    6 publications · 4.5K citations

    6

    h-index

  3. XS
    Xinhang Song

    Chinese Academy of Sciences, China

    4 publications · 131 citations

    4

    h-index

  4. CY
    Cong Yao

    Huazhong University of Science and Technology, China

    3 publications · 3.2K citations

    3

    h-index

  5. PE
    Peter E. Hart

    SRI International, United States

    3 publications · 8.8K citations

    3

    h-index

1–5 of 723

Venues

  1. Pattern Recognition

    13 publications · 945 citations

    13

    h-index

  2. Multimedia Tools and Applications

    9 publications · 167 citations

    9

    h-index

  3. IEEE Access

    7 publications · 296 citations

    7

    h-index

  4. Neurocomputing

    7 publications · 276 citations

    7

    h-index

  5. 5

    h-index

1–5