Picture-text Matching

Picture-Text Matching is a computational task in multimodal learning that identifies correspondences between visual content in images and semantically aligned textual descriptions by jointly modeling cross-modal representations to determine their mutual relevance.

32

Publications

1.2K

Citations

104

Authors

59

Institutions

Publications per year

2017–2026

14

Variants

Image-text Matching

Authors

104

  1. YJ
    Ye Jiang

    University of Sheffield, United Kingdom

    2 publications · 50 citations

    2

    h-index

  2. MG
    Murray Grossman

    University of Pennsylvania, United States

    2 publications · 119 citations

    2

    h-index

  3. RL
    Robin L. Thompson

    University College London, United Kingdom

    2 publications · 152 citations

    2

    h-index

  4. HW
    Haiyan Wang

    Beijing Foreign Studies University, China

    2 publications · 34 citations

    2

    h-index

  5. HP
    Holly P. Branigan

    University of Edinburgh, United Kingdom

    2 publications · 83 citations

    2

    h-index

1–5 of 104

Venues

  1. Aphasiology

    3 publications · 46 citations

    3

    h-index

  2. 2

    h-index

  3. Memory & Cognition

    1 publications · 13 citations

    1

    h-index

  4. Language and Speech

    1 publications · 21 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 14 citations

    1

    h-index

1–5