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Pixelwise instance segmentation with a dynamically instantiated network

Abstract:

Semantic segmentation and object detection research have recently achieved rapid progress. However, the former task has no notion of different instances of the same object, and the latter operates at a coarse, bounding-box level. We propose an Instance Segmentation system that produces a segmentation map where each pixel is assigned an object class and instance identity label. Most approaches adapt object detectors to produce segments instead of boxes. In contrast, our method is based on an i...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/CVPR.2017.100

Authors


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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Oxford college:
Linacre College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
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Grant:
ERC-2012-AdG 321162-HELIOS
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Journal website
Host title:
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Publication date:
2018-02-01
Acceptance date:
2017-03-04
Event location:
Honolulu, Hawaii
DOI:
ISSN:
1063-6919
Source identifiers:
810849
Keywords:
Pubs id:
pubs:810849
UUID:
uuid:27b5322b-15df-494c-a5b8-d02889315874
Local pid:
pubs:810849
Deposit date:
2018-11-19

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