Small Object Detection

Small Object Detection is an object detection task that specifically addresses the identification and localization of objects significantly smaller in size relative to the image resolution, distinguished by the challenges posed by low pixel intensity, limited feature representation, and high contextual dependency.

1.5K

Publications

103.3K

Citations

5.5K

Authors

1.1K

Institutions

Publications per year

2017–2026

1.3K

Authors

5.5K

  1. ZP
    Zhenming Peng

    University of Electronic Science and Technology of China, China

    14 publications · 2K citations

    13

    h-index

  2. LJ
    Licheng Jiao

    Xidian University, China

    12 publications · 859 citations

    12

    h-index

  3. YL
    Yunsong Li

    Xidian University, China

    9 publications · 622 citations

    9

    h-index

  4. WL
    Wei Li

    Beijing Institute of Technology, China

    9 publications · 633 citations

    9

    h-index

  5. CG
    Chenqiang Gao

    Chongqing University of Posts and Telecommunications, China

    8 publications · 1.7K citations

    8

    h-index

1–5 of 5.5K

Venues

  1. 47

    h-index

  2. Remote Sensing

    93 publications · 6.3K citations

    45

    h-index

  3. Sensors

    82 publications · 4.6K citations

    37

    h-index

  4. IEEE Access

    81 publications · 4.3K citations

    36

    h-index

  5. IEEE Geoscience and Remote Sensing Letters

    GRSL · 64 publications · 4.5K citations

    32

    h-index

1–5