Zero-shot Object Recognition

Zero-Shot Object Recognition is an object recognition paradigm that enables the identification of object categories without prior visual examples by leveraging semantic representations and prior knowledge to infer unseen classes.

66

Publications

14.7K

Citations

203

Authors

79

Institutions

Publications per year

2017–2026

48

Authors

203

  1. SR
    Shafin Rahman

    Australian National University, Australia

    7 publications · 389 citations

    7

    h-index

  2. FS
    Fei Sha

    University of Southern California, United States

    5 publications · 1.1K citations

    5

    h-index

  3. ZH
    Zongyan Han

    Nanjing University of Science and Technology, China

    5 publications · 444 citations

    5

    h-index

  4. WC
    Wei‐Lun Chao

    The Ohio State University, United States

    5 publications · 1.1K citations

    5

    h-index

  5. SC
    Soravit Changpinyo

    Google (United States), United States

    5 publications · 1.1K citations

    5

    h-index

1–5 of 203

Venues

  1. arXiv (Cornell University)

    Repository · 16 publications · 6.6K citations

    15

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 207 citations

    5

    h-index

  3. 3

    h-index

  4. IEEE Signal Processing Letters

    2 publications · 48 citations

    2

    h-index

  5. IEEE Transactions on Cybernetics

    2 publications · 71 citations

    2

    h-index

1–5