Object Detection

Object Detection is a computational process within visual perception that identifies the presence, location, and extent of specific instances of semantic objects in an image or video sequence, distinguished from related tasks by its simultaneous output of class labels and spatial bounding geometry.

41.9K

Publications

4.1M

Citations

86.6K

Authors

7.6K

Institutions

Publications per year

2017–2026

23.5K

Authors

86.6K

  1. HL
    Huchuan Lu

    Dalian University of Technology, China

    153 publications · 28K citations

    74

    h-index

  2. XW
    Xiaogang Wang

    European Organization for Nuclear Research, Switzerland

    98 publications · 42.4K citations

    66

    h-index

  3. BS
    Bernt Schiele

    Max Planck Institute for Informatics, Germany

    109 publications · 37.4K citations

    66

    h-index

  4. MY
    Ming–Hsuan Yang

    University of California, Merced, United States

    110 publications · 37.2K citations

    63

    h-index

  5. LV
    Luc Van Gool

    ETH Zurich, Switzerland

    126 publications · 49.2K citations

    63

    h-index

1–5 of 86.6K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 736 publications · 326.3K citations

    200

    h-index

  2. arXiv (Cornell University)

    Repository · 2.3K publications · 236.1K citations

    186

    h-index

  3. IEEE Transactions on Image Processing

    689 publications · 75.5K citations

    129

    h-index

  4. 112

    h-index

  5. IEEE Transactions on Geoscience and Remote Sensing

    457 publications · 39.4K citations

    104

    h-index

1–5