Conference item icon

Conference item

GhostVLAD for set-based face recognition

Abstract:

The objective of this paper is to learn a compact representation of image sets for template-based face recognition. We make the following contributions: first, we propose a network architecture which aggregates and embeds the face descriptors produced by deep convolutional neural networks into a compact fixed-length representation. This compact representation requires minimal memory storage and enables efficient similarity computation. Second, we propose a novel GhostVLAD layer that includes ...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

Actions


Access Document


Files:
Publisher copy:
10.1007/978-3-030-20890-5_3

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Arandjelovic, R More by this author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Oxford college:
Brasenose College
ORCID:
0000-0002-8945-8573
Publisher:
Springer, Cham Publisher's website
Volume:
11363
Pages:
35-50
Series:
Lecture Notes in Computer Science
Publication date:
2019-06-02
Acceptance date:
2018-10-23
DOI:
ISSN:
0302-9743
Pubs id:
pubs:950924
URN:
uri:b2d970f2-9dd1-49bc-afd3-652dad53ddb8
UUID:
uuid:b2d970f2-9dd1-49bc-afd3-652dad53ddb8
Local pid:
pubs:950924
ISBN:
978-3-030-20893-6

Terms of use


Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP