Browsing Engineering (Faculty of) by Subject "generative adversarial networks"
Now showing items 1-3 of 3
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Domain Knowledge Guided Testing and Training of Neural Networks
(University of Waterloo, 2021-08-26)The extensive impact of Deep Neural Networks (DNNs) on various industrial applications and research areas within the last decade can not be overstated. However, they are also subject to notable limitations, namely their ... -
Spectral-Spatial Neural Networks and Probabilistic Graph Models for Hyperspectral Image Classification
(University of Waterloo, 2019-08-16)Pixel-wise hyperspectral image (HSI) classification has been actively studied since it shares similar characteristics with related computer vision tasks, including image classification, object detection, and semantic ... -
Towards Explainable Generative Adversarial Networks
(University of Waterloo, 2022-05-09)As Generative Adversarial Networks become more and more popular for sample generation, the demand for human interpretable explanations have also skyrocketed. With the rising popularity of Generative Adversarial Networks ...