Browsing University of Waterloo by Subject "Deep Neural Networks"

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Blind Image Quality Assessment: Exploiting New Evaluation and Design Methodologies

Ma, Kede (University of Waterloo, 2017-10-12)

The great content diversity of real-world digital images poses a grand challenge to automatically and accurately assess their perceptual quality in a timely manner. In this thesis, we focus on blind image quality assessment ...
Class Incremental Learning in Deep Neural Networks

Tong, JunYong (University of Waterloo, 2021-04-28)

With the advancement of computation capability, in particular the use of graphical processing units, deep learning systems have shown tremendous potential in achieving super-human performance in many computer vision tasks. ...
A Novel Mathematical Framework for the Analysis of Neural Networks

Caterini, Anthony (University of Waterloo, 2017-08-22)

Over the past decade, Deep Neural Networks (DNNs) have become very popular models for processing large amounts of data because of their successful application in a wide variety of fields. These models are layered, often ...