Closed-set Face Recognition

Closed-Set Face Recognition is a face recognition paradigm in which the identification task assumes that all probe faces belong to a predefined and fixed set of known individuals in the gallery, thereby requiring the system to correctly classify each input face exclusively among these known identities.

14

Publications

1.2K

Citations

50

Authors

33

Institutions

Publications per year

2017–2026

10

Authors

50

  1. AK
    Anil K. Jain

    Michigan State University, United States

    3 publications · 669 citations

    3

    h-index

  2. PG
    Patrick Grother

    National Institute of Standards and Technology, United States

    2 publications · 714 citations

    2

    h-index

  3. DD
    Debayan Deb

    Michigan State University, United States

    2 publications · 22 citations

    2

    h-index

  4. DS
    Dongjin Song

    University of Connecticut, United States

    1 publications · 21 citations

    1

    h-index

  5. SV
    Shantaram Vasikarla

    Indian Institute of Technology Delhi, India

    1 publications · 20 citations

    1

    h-index

1–5 of 50

Venues

  1. 1

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 12 citations

    1

    h-index

  3. Animals

    1 publications · 22 citations

    1

    h-index

  4. IET Biometrics

    BMT · 1 publications · 13 citations

    1

    h-index

1–5