Zero-shot Image Retrieval

Zero-Shot Image Retrieval is an image retrieval paradigm that enables the localization and recovery of images associated with object categories or semantic concepts not seen during training by leveraging auxiliary semantic representations and generalized feature learning.

78

Publications

4.5K

Citations

249

Authors

98

Institutions

Publications per year

2017–2026

75

Authors

249

  1. FS
    Fumin Shen

    University of Electronic Science and Technology of China, China

    6 publications · 357 citations

    6

    h-index

  2. XX
    Xing Xu

    University of Electronic Science and Technology of China, China

    5 publications · 214 citations

    5

    h-index

  3. LS
    Ling Shao

    Inception Institute of Artificial Intelligence, United Arab Emirates

    4 publications · 245 citations

    5

    h-index

  4. HW
    Hao Wang

    Xidian University, China

    4 publications · 209 citations

    4

    h-index

  5. YS
    Yuming Shen

    University of Oxford, United Kingdom

    3 publications · 205 citations

    3

    h-index

1–5 of 249

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 427 citations

    10

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 7 publications · 273 citations

    7

    h-index

  3. IEEE Transactions on Image Processing

    3 publications · 121 citations

    3

    h-index

  4. 2

    h-index

  5. Knowledge-Based Systems

    2 publications · 44 citations

    2

    h-index

1–5