Thesis
Holistic image understanding with deep learning and dense random fields
- Abstract:
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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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Funding
+ Engineering and Physical Sciences Research Council
More from this funder
Funding agency for:
Zheng, S
Grant:
EP/I001107/2
Bibliographic Details
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
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uuid:1e29bfc5-16ed-44fa-a75c-40d215035fee
- Deposit date:
- 2016-10-22
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Terms of use
- Copyright holder:
- Zheng, S
- Copyright date:
- 2016
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