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Blocks that shout: distinctive parts for scene classification

Abstract:

The automatic discovery of distinctive parts for an object or scene class is challenging since it requires simultaneously to learn the part appearance and also to identify the part occurrences in images. In this paper, we propose a simple, efficient, and effective method to do so. We address this problem by learning parts incrementally, starting from a single part occurrence with an Exemplar SVM. In this manner, additional part instances are discovered and aligned reliably before being consid...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/CVPR.2013.124

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Institution:
University of Oxford
Oxford college:
New College
Role:
Author
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Institution:
University of Oxford
Oxford college:
Brasenose College
Role:
Author
Publisher:
IEEE Publisher's website
Journal:
IEEE Conference on Computer Vision and Pattern Recognition Journal website
Pages:
923-930
Host title:
IEEE Conference on Computer Vision and Pattern Recognition
Publication date:
2013-11-15
DOI:
ISSN:
1063-6919
Source identifiers:
440691
ISBN:
9781538656723
Keywords:
Pubs id:
pubs:440691
UUID:
uuid:084630ba-0e1e-4c84-a088-addf66dc8f9a
Local pid:
pubs:440691
Deposit date:
2017-03-01

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