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Thesis

Representation of spatial transformations in deep neural networks

Abstract:

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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Division:
MPLS
Department:
Engineering Science
Role:
Author

Contributors

Department:
University of Oxford
Role:
Supervisor
Department:
University of Oxford
Role:
Examiner
Department:
University of Bordeaux
Role:
Examiner
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
Keywords:
Subjects:
UUID:
uuid:87a16dc2-9d77-49c3-8096-cf3416fa6893
Deposit date:
2018-05-26

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