Densely Packed Object Detection

Densely Packed Object Detection is a specialized object detection paradigm that addresses the challenge of identifying and localizing objects in images characterized by high spatial density and significant overlap, where traditional detectors fail due to occlusion and scale variation.

48

Publications

6.6K

Citations

211

Authors

78

Institutions

Publications per year

2017–2026

47

Authors

211

  1. XW
    Xu Wang

    Tsinghua University, China

    2 publications · 2.2K citations

    2

    h-index

  2. YR
    Yuqiang Ren

    Tencent (China), China

    2 publications · 418 citations

    2

    h-index

  3. GG
    Guangshuai Gao

    Beihang University, China

    2 publications · 65 citations

    2

    h-index

  4. QL
    Qingjie Liu

    Beihang University, China

    2 publications · 65 citations

    2

    h-index

  5. QL
    Qikai Lu

    Wuhan University, China

    2 publications · 1.6K citations

    2

    h-index

1–5 of 211

Venues

  1. 6

    h-index

  2. Remote Sensing

    4 publications · 233 citations

    4

    h-index

  3. 3

    h-index

  4. arXiv (Cornell University)

    Repository · 3 publications · 249 citations

    3

    h-index

  5. Sensors

    3 publications · 132 citations

    3

    h-index

1–5