Object Instance Retrieval

Object Instance Retrieval is a type of image retrieval task that identifies specific, unique instances of an object within a database by distinguishing them from other visually similar objects based on fine-grained visual details.

68

Publications

5K

Citations

228

Authors

102

Institutions

Publications per year

2017–2026

26

Variants

Instance-level Image Retrieval

Authors

228

  1. JY
    Junsong Yuan

    Nanyang Technological University, Singapore

    5 publications · 115 citations

    5

    h-index

  2. XG
    Xavier Giró-i-Nieto

    Universitat Politècnica de Catalunya, Spain

    3 publications · 198 citations

    3

    h-index

  3. AZ
    Andrew Zisserman

    University of Oxford, United Kingdom

    3 publications · 907 citations

    3

    h-index

  4. QT
    Qi Tian

    The University of Texas at San Antonio, United States

    2 publications · 37 citations

    2

    h-index

  5. LD
    Ling‐Yu Duan

    Peking University, China

    2 publications · 89 citations

    2

    h-index

1–5 of 228

Venues

  1. Neurocomputing

    3 publications · 125 citations

    3

    h-index

  2. IEEE Transactions on Multimedia

    3 publications · 111 citations

    3

    h-index

  3. Signal Processing

    3 publications · 246 citations

    3

    h-index

  4. Neural Networks

    2 publications · 119 citations

    2

    h-index

  5. Knowledge-Based Systems

    2 publications · 39 citations

    2

    h-index

1–5