Zero-shot Image Recognition

Zero-Shot Image Recognition is an image understanding task in which a model identifies previously unseen object categories without any training examples from those categories, relying instead on semantic representations or auxiliary information to bridge the gap between known and unknown classes.

162

Publications

12K

Citations

485

Authors

177

Institutions

Publications per year

2017–2026

148

Authors

485

  1. LS
    Ling Shao

    Inception Institute of Artificial Intelligence, United Arab Emirates

    8 publications · 350 citations

    8

    h-index

  2. SM
    Shaobo Min

    University of Science and Technology of China, China

    6 publications · 276 citations

    7

    h-index

  3. YZ
    Yongdong Zhang

    University of Science and Technology of China, China

    5 publications · 254 citations

    7

    h-index

  4. HZ
    Hanwang Zhang

    Nanyang Technological University, Singapore

    6 publications · 811 citations

    6

    h-index

  5. HX
    Hongtao Xie

    University of Science and Technology of China, China

    5 publications · 254 citations

    6

    h-index

1–5 of 485

Venues

  1. arXiv (Cornell University)

    Repository · 24 publications · 777 citations

    16

    h-index

  2. IEEE Transactions on Multimedia

    6 publications · 140 citations

    9

    h-index

  3. 5

    h-index

  4. 5

    h-index

  5. Pattern Recognition

    4 publications · 137 citations

    4

    h-index

1–5