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Bottom-up Instance Segmentation using Deep Higher-Order CRFs

Abstract:

Traditional Scene Understanding problems such as Object Detection and Semantic Segmentation have made breakthroughs in recent years due to the adoption of deep learning. However, the former task is not able to localise objects at a pixel level, and the latter task has no notion of different instances of objects of the same class. We focus on the task of Instance Segmentation which recognises and localises objects down to a pixel level. Our model is based on a deep neural network trained for s...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's Version

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Publisher copy:
10.5244/C.30.19

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
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Grant:
ERC-2012-AdG 321162-HELIOS
Publisher:
BMVA Press Publisher's website
Publication date:
2016-09-01
Acceptance date:
2016-07-14
DOI:
Pubs id:
pubs:810846
URN:
uri:fd235a65-d2bf-4ea2-8b70-8d5332a632aa
UUID:
uuid:fd235a65-d2bf-4ea2-8b70-8d5332a632aa
Local pid:
pubs:810846
ISBN:
1-901725-59-6

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