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Thesis

Learning to represent scenes with geometry and semantics

Abstract:

Scene representation is the process of converting sensory observations of an environment into compact descriptions. Such intelligent behavior is a cornerstone of artificial intelligence. Scientists have long sought to reproduce the extraordinary ability of humans for understanding the physical environment. Taking visual sensory observations of an environment as input, modern intelligent systems mostly aim to learn neural representations that encode fundamental scene properties such as geom...

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Division:
MPLS
Department:
Computer Science
Oxford college:
Exeter College
Role:
Author

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Supervisor
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Supervisor


Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford


Language:
English
Keywords:
Subjects:
Deposit date:
2022-11-23

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