Two-stage Detectors

Two-Stage Detectors is a class of object detection frameworks that first generates region proposals likely to contain objects and then classifies and refines these proposals in a subsequent stage, thereby distinguishing itself from single-stage methods by decoupling localization and classification into sequential steps.

291

Publications

64.2K

Citations

1.1K

Authors

345

Institutions

Publications per year

2017–2026

232

Variants

Two-stage Object Detectors

Authors

1.1K

  1. TL
    Tsung-Yi Lin

    Google (United States), United States

    6 publications · 37K citations

    6

    h-index

  2. ZT
    Zhi Tang

    Peking University, China

    5 publications · 1.1K citations

    5

    h-index

  3. JS
    Jian Sun

    Microsoft Research Asia (China), China

    5 publications · 781 citations

    5

    h-index

  4. YW
    Yongtao Wang

    Peking University, China

    5 publications · 1.1K citations

    5

    h-index

  5. GY
    Gang Yu

    Tencent (China), China

    4 publications · 845 citations

    4

    h-index

1–5 of 1.1K

Venues

  1. arXiv (Cornell University)

    Repository · 44 publications · 3.8K citations

    23

    h-index

  2. IEEE Transactions on Image Processing

    11 publications · 593 citations

    11

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 8 publications · 1.9K citations

    8

    h-index

  4. Remote Sensing

    7 publications · 701 citations

    7

    h-index

  5. Sensors

    7 publications · 274 citations

    7

    h-index

1–5