Concepedia

Embedding Learning For Retrieval

Embedding Learning for Retrieval is a machine learning framework that maps visual and/or textual data into a shared semantic space such that the relative proximity of embeddings reflects the relevance between images and their associated queries, enabling effective content-based image retrieval.

286

Publications

20.7K

Citations

966

Authors

305

Institutions

Publications per year

2017–2026

237

Parents

Publications

286

Iterative quantization: A procrustean approach to learning binary codes

Yunchao Gong, Svetlana Lazebnik · 2011 · 1.1K citations

, , +17

Learning Structured Embeddings of Knowledge Bases

Antoine Bordes, Jason Weston, Ronan Collobert et al. · 2011 · 861 citations · Full text

, , +16

Learning Deep Structure-Preserving Image-Text Embeddings

Liwei Wang, Yin Li, Svetlana Lazebnik · 2016 · 808 citations

, , +16

Frozen in time: A joint video and image encoder for end-to-end retrieval

Arsha Nagrani, Gül Varol · Oxford University Research Archive (ORA) (University of Oxford) · 2022 · 760 citations

, , +16

Deep Fragment Embeddings for Bidirectional Image Sentence Mapping

Andrej Karpathy, Armand Joulin, Fei Fei F Li · arXiv (Cornell University) · 2014 · 726 citations · Full text

, , +16

1–5 of 286

Authors

966

  1. SX
    Shitao Xiao

    Beijing University of Posts and Telecommunications, China

    6 publications · 548 citations

    7

    h-index

  2. JC
    Jamie Callan

    Carnegie Mellon University, United States

    6 publications · 406 citations

    6

    h-index

  3. ZL
    Zheng Liu

    Microsoft Research Asia (China), China

    6 publications · 548 citations

    6

    h-index

  4. SL
    Svetlana Lazebnik

    University of Illinois Urbana-Champaign, United States

    6 publications · 3.1K citations

    6

    h-index

  5. CG
    Cathal Gurrin

    Dublin City University, Ireland

    5 publications · 150 citations

    5

    h-index

1–5 of 966

Institutions

305

  1. Google (United States)

    Mountain View, United States

    14 h-index

    54 publications

    6.3K citations

  2. Chinese Academy of Sciences

    Beijing, China

    8 h-index

    12 publications

    651 citations

  3. University of Illinois Urbana-Champaign

    Urbana, United States

    8 h-index

    15 publications

    4.3K citations

  4. Microsoft (United States)

    Redmond, United States

    7 h-index

    14 publications

    1.9K citations

  5. Beijing University of Posts and Telecommunications

    Beijing, China

    6 h-index

    13 publications

    534 citations

  6. University of California, Berkeley

    Berkeley, United States

    6 h-index

    8 publications

    257 citations

  7. University of Science and Technology of China

    Hefei, China

    6 h-index

    12 publications

    318 citations

  8. Carnegie Mellon University

    Pittsburgh, United States

    6 h-index

    10 publications

    781 citations

1–8 of 305

Venues

  1. arXiv (Cornell University)

    Repository · 39 publications · 2.4K citations

    24

    h-index

  2. Pattern Recognition

    10 publications · 317 citations

    10

    h-index

  3. 7

    h-index

  4. IEEE Transactions on Multimedia

    6 publications · 209 citations

    6

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 6 publications · 321 citations

    6

    h-index

1–5