Multi-label Recognition

Multi-Label Recognition is a computer vision task that involves identifying and localizing multiple distinct object categories within a single image, where each object instance may belong to more than one semantic class simultaneously.

515

Publications

35.3K

Citations

1.8K

Authors

583

Institutions

Publications per year

2017–2026

378

Authors

1.8K

  1. TC
    Tianshui Chen

    Sun Yat-sen University, China

    12 publications · 1.1K citations

    12

    h-index

  2. LL
    Liang Lin

    Sun Yat-sen University, China

    11 publications · 1.1K citations

    11

    h-index

  3. XX
    Xuan Xiao

    Jingdezhen Ceramic Institute, China

    7 publications · 2K citations

    7

    h-index

  4. HW
    Hefeng Wu

    Sun Yat-sen University, China

    6 publications · 498 citations

    6

    h-index

  5. YG
    Yanwen Guo

    Nanjing University, China

    5 publications · 1.5K citations

    5

    h-index

1–5 of 1.8K

Venues

  1. arXiv (Cornell University)

    Repository · 49 publications · 1.9K citations

    24

    h-index

  2. Neurocomputing

    21 publications · 1.1K citations

    18

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 15 publications · 924 citations

    14

    h-index

  4. Pattern Recognition

    13 publications · 883 citations

    13

    h-index

  5. IEEE Access

    12 publications · 979 citations

    11

    h-index

1–5