Global Scene Recognition

Global Scene Recognition is a computational vision task that identifies the overall semantic category of an image by analyzing holistic spatial layout and contextual cues rather than localized objects or regions.

41

Publications

8.6K

Citations

123

Authors

53

Institutions

Publications per year

2017–2026

8

Authors

123

  1. OF
    Olivier Faugeras

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 27 citations

    2

    h-index

  2. IR
    Ian Reid

    The University of Adelaide, Australia

    2 publications · 111 citations

    2

    h-index

  3. GS
    Giulio Sandini

    Italian Institute of Technology, Italy

    2 publications · 59 citations

    2

    h-index

  4. AF
    Andrew Fitzgibbon

    Microsoft Research (United Kingdom), United Kingdom

    2 publications · 36 citations

    2

    h-index

  5. CS
    Cordelia Schmid

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 121 citations

    2

    h-index

1–5 of 123

Venues

  1. Pattern Recognition

    3 publications · 327 citations

    3

    h-index

  2. 3

    h-index

  3. CiteSeer X (The Pennsylvania State University)

    Repository · 2 publications · 195 citations

    2

    h-index

  4. Electronic workshops in computing

    1 publications · 79 citations

    1

    h-index

  5. Psychonomic Bulletin & Review

    1 publications · 42 citations

    1

    h-index

1–5