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Chapter and Conference Paper
Self-supervised Learning with Deep Neural Networks for Computer Vision
Self-supervised learning has gained popularity in recent years due to a need to avoid the expensive costs of large-scale data annotation. This field has had huge developments in recent months, with the state-o...
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Chapter and Conference Paper
Self-supervised Learning for 3D CT Scan Segmentation
Deep learning’s past successes in semantic segmentation of medical image data often rely on large quantities of dense and intricately labeled training data. Due to the tremendous amount of labor and expertise ...
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Chapter and Conference Paper
Investigating Factors Affecting Upstream Contamination
Upstream contamination is a phenomenon in fluid dynamics that is not well-understood to this day. In the presence of fluid flow from an upper reservoir to a lower reservoir, the surfactants on the lower reserv...