Thesis
Representation of spatial transformations in deep neural networks
- Abstract:
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This thesis addresses the problem of investigating the properties and abilities of a variety of computer vision representations with respect to spatial geometric transformations. Our approach is to employ machine learning methods for finding the behaviour of existing image representations empirically and to apply deep learning to new computer vision tasks where the underlying spatial information is of importance. The results help to further the understanding of modern computer vision repre...
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Authors
Contributors
+ Vedaldi, A
Department:
University of Oxford
Role:
Supervisor
+ Zisserman, A
Department:
University of Oxford
Role:
Examiner
+ Lepetit, V
Department:
University of Bordeaux
Role:
Examiner
Funding
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:87a16dc2-9d77-49c3-8096-cf3416fa6893
- Deposit date:
- 2018-05-26
Related Items
Terms of use
- Copyright holder:
- Lenc, K
- Copyright date:
- 2017
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