Oriented Object Detection

Oriented Object Detection is an object detection paradigm in geospatial computer vision that localizes objects with oriented bounding boxes parameterized by center coordinates, dimensions, and rotation angle, thereby distinguishing itself from axis-aligned detection through its ability to accurately model arbitrarily oriented instances in aerial and satellite imagery.

184

Publications

20.8K

Citations

645

Authors

150

Institutions

Publications per year

2017–2026

163

Authors

645

  1. JH
    Junwei Han

    Northwestern Polytechnical University, China

    10 publications · 1.1K citations

    10

    h-index

  2. GC
    Gong Cheng

    Northwestern Polytechnical University, China

    9 publications · 1.1K citations

    9

    h-index

  3. GX
    Gui-Song Xia

    Wuhan University, China

    9 publications · 4.5K citations

    9

    h-index

  4. XY
    Xue Yang

    Shanghai Jiao Tong University, China

    8 publications · 754 citations

    8

    h-index

  5. JY
    Junchi Yan

    Shanghai Jiao Tong University, China

    8 publications · 415 citations

    8

    h-index

1–5 of 645

Venues

  1. 26

    h-index

  2. Remote Sensing

    20 publications · 764 citations

    16

    h-index

  3. arXiv (Cornell University)

    Repository · 22 publications · 1.2K citations

    15

    h-index

  4. IEEE Geoscience and Remote Sensing Letters

    GRSL · 10 publications · 606 citations

    9

    h-index

  5. 7

    h-index

1–5