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Semi-convolutional operators for instance segmentation

Abstract:

Object detection and instance segmentation are dominated by region-based methods such as Mask RCNN. However, there is a growing interest in reducing these problems to pixel labeling tasks, as the latter could be more efficient, could be integrated seamlessly in image-to-image network architectures as used in many other tasks, and could be more accurate for objects that are not well approximated by bounding boxes. In this paper we show theoretically and empirically that constructing dense pixe...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-030-01246-5_6

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
New College
Role:
Author
Amazon Web Services, Inc More from this funder
Publisher:
Springer Verlag Publisher's website
Journal:
Lecture Notes in Computer Science Journal website
Volume:
11205
Pages:
89-105
Series:
Lecture Notes in Computer Science
Host title:
European Conference on Computer Vision
Publication date:
2018-10-06
Acceptance date:
2018-07-03
DOI:
ISSN:
0302-9743 and 1611-3349
Source identifiers:
940496
ISBN:
9783030012458
Keywords:
Pubs id:
pubs:940496
UUID:
uuid:629c00e4-442d-4346-aca9-206bd875964a
Local pid:
pubs:940496
Deposit date:
2018-11-12

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