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The art of detection

Abstract:

The objective of this work is to recognize object categories in paintings, such as cars, cows and cathedrals. We achieve this by training classifiers from natural images of the objects. We make the following contributions: (i) we measure the extent of the domain shift problem for image-level classifiers trained on natural images vs paintings, for a variety of CNN architectures; (ii) we demonstrate that classificationby-detection (i.e. learning classifiers for regions rather than the entire im...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-319-46604-0_50

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
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Name:
Engineering and Physical Sciences Research Council
Grant:
EP/M013774/1
Publisher:
Springer, Cham
Host title:
European Conference on Computer Vision: ECCV 2016 Workshops
Series:
Lecture Notes in Computer Science
Volume:
9913
Pages:
721-737
Publication date:
2016-01-01
Acceptance date:
2016-07-11
DOI:
ISSN:
0302-9743
ISBN:
9783319466033
Pubs id:
pubs:653212
UUID:
uuid:21e24d87-8fc2-4582-9946-8289db59d20d
Local pid:
pubs:653212
Source identifiers:
653212
Deposit date:
2016-11-01

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