Multi-label Annotation

Multi-Label Annotation is a type of image annotation method in which a single image is assigned multiple non-exclusive labels to capture the presence of several distinct visual concepts or objects simultaneously.

207

Publications

13.5K

Citations

748

Authors

319

Institutions

Publications per year

2017–2026

123

Authors

748

  1. KC
    Kuo‐Chen Chou

    The Gordon Life Science Institute, United States

    7 publications · 767 citations

    7

    h-index

  2. SY
    Shuicheng Yan

    National University of Singapore, Singapore

    6 publications · 1.2K citations

    6

    h-index

  3. XX
    Xuan Xiao

    Jingdezhen Ceramic Institute, China

    5 publications · 841 citations

    5

    h-index

  4. FW
    Fei Wu

    Zhejiang University, China

    4 publications · 275 citations

    4

    h-index

  5. XC
    Xiang Cheng

    The Gordon Life Science Institute, United States

    4 publications · 641 citations

    4

    h-index

1–5 of 748

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 497 citations

    8

    h-index

  2. IEEE Transactions on Multimedia

    6 publications · 429 citations

    6

    h-index

  3. Neurocomputing

    6 publications · 277 citations

    6

    h-index

  4. 2009 IEEE Conference on Computer Vision and Pattern Recognition

    Conference · 5 publications · 449 citations

    5

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 365 citations

    5

    h-index

1–5