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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...

    Tan Huan ** Gregory, Neo Souw Chuan, Shen Bingquan in IRC-SET 2021 (2022)

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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 ...

    Bingquan Shen, Yew Keng Timothy Low in IRC-SET 2022 (2023)

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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...

    Shen **ng Yang, Wang Hengyue, Mendoza Kieran Majel, Bernard Ricardo in IRC-SET 2022 (2023)