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Thesis

Holistic image understanding with deep learning and dense random fields

Abstract:

One aim of holistic image understanding is not only to recognise the things and stuff in images but also to localise where they are exactly. Semantic image segmentation is set up to achieve this goal. The purpose of this task is to recognise and delineate the visual objects. The solution to this task provides detailed information to understand images and is central to applications such as content-based image search, autonomous vehicles, image-editing, and smart glasses for partially-sighte...

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Division:
MPLS
Department:
Engineering Science
Department:
Engineering Science
Role:
Author

Contributors

Department:
Engineering Science
Role:
Supervisor
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Funding agency for:
Zheng, S
Grant:
EP/I001107/2
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Funding agency for:
Zheng, S
Grant:
ERC-2012-ADG
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
Keywords:
Subjects:
UUID:
uuid:1e29bfc5-16ed-44fa-a75c-40d215035fee
Deposit date:
2016-10-22

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