Anchor-free Detection

Anchor-Free Detection is a category of object detection methodology that localizes and classifies objects directly from feature map positions without relying on predefined anchor boxes to guide the prediction process.

234

Publications

27K

Citations

934

Authors

229

Institutions

Publications per year

2017–2026

233

Authors

934

  1. ZT
    Zhi Tian

    Michigan Technological University, United States

    7 publications · 8.1K citations

    7

    h-index

  2. CS
    Chunhua Shen

    The University of Adelaide, Australia

    7 publications · 8.1K citations

    7

    h-index

  3. HC
    Hao Chen

    Chinese University of Hong Kong, Hong Kong SAR China

    6 publications · 8K citations

    6

    h-index

  4. LJ
    Licheng Jiao

    Xidian University, China

    5 publications · 181 citations

    5

    h-index

  5. SL
    Shengcai Liao

    Chinese Academy of Sciences, China

    4 publications · 236 citations

    4

    h-index

1–5 of 934

Venues

  1. arXiv (Cornell University)

    Repository · 37 publications · 5.7K citations

    24

    h-index

  2. 21

    h-index

  3. Remote Sensing

    18 publications · 630 citations

    16

    h-index

  4. IEEE Geoscience and Remote Sensing Letters

    GRSL · 10 publications · 227 citations

    10

    h-index

  5. IEEE Access

    11 publications · 374 citations

    10

    h-index

1–5