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Template adaptation for face verification and identification

Abstract:

Face recognition performance evaluation has traditionally focused on one-to-one verification, popularized by the Labeled Faces in the Wild dataset [1] for imagery and the YouTubeFaces dataset [2] for videos. In contrast, the newly released IJB-A face recognition dataset [3] unifies evaluation of one-to-many face identification with one-to-one face verification over templates, or sets of imagery and videos for a subject. In this paper, we study the problem of template adaptation, a form of tra...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/FG.2017.11

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
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Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
International Conference on Automatic Face and Gesture Recognition Journal website
Host title:
International Conference on Automatic Face and Gesture Recognition
Publication date:
2017-06-01
Acceptance date:
2017-01-27
Event location:
Washington DC
Event start date:
2017-05-30T00:00:00Z
Event end date:
2017-06-03T00:00:00Z
DOI:
Source identifiers:
684087
Pubs id:
pubs:684087
UUID:
uuid:a5065bb4-5e94-469a-8dd9-18fd6cb166fc
Local pid:
pubs:684087
Deposit date:
2017-03-06

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