Open-set Scene Classification

Open-Set Scene Classification is a scene classification paradigm that belongs to the broader category of image understanding tasks, distinguished by its requirement to recognize known scene categories during inference while simultaneously identifying images from unknown or unseen scene categories as belonging to none of the known classes.

15

Publications

490

Citations

64

Authors

34

Institutions

Publications per year

2017–2026

14

Authors

64

  1. XX
    Xia Xu

    Beihang University, China

    2 publications · 51 citations

    2

    h-index

  2. JZ
    Jun Zhang

    Hebei University of Technology, China

    2 publications · 51 citations

    2

    h-index

  3. BP
    Bin Pan

    Beihang University, China

    2 publications · 51 citations

    2

    h-index

  4. JL
    Jiao Liu

    Wuhan University, China

    2 publications · 51 citations

    2

    h-index

  5. LT
    Long Tian

    Xidian University, China

    1 publications · 30 citations

    1

    h-index

1–5 of 64

Venues

  1. 4

    h-index

  2. IEEE Geoscience and Remote Sensing Letters

    GRSL · 1 publications · 20 citations

    1

    h-index

  3. 1

    h-index

  4. Expert Systems with Applications

    1 publications · 31 citations

    1

    h-index

  5. Signal Processing

    1 publications · 30 citations

    1

    h-index

1–5