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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
Version:
Accepted manuscript

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Publisher copy:
10.1109/FG.2017.11

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Department:
Oxford, MPLS, Engineering Science
Role:
Author
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Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Publication date:
2017-06-05
Acceptance date:
2017-01-27
DOI:
Pubs id:
pubs:684087
URN:
uri:a5065bb4-5e94-469a-8dd9-18fd6cb166fc
UUID:
uuid:a5065bb4-5e94-469a-8dd9-18fd6cb166fc
Local pid:
pubs:684087

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