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    Image segmentation with minimal human supervision by Shin, G

    Published 2024
    “…</p> <br> <p>In the first part, we demonstrate that considering a model's uncertainty in predictions can significantly reduce the number of annotations required to train a segmenter that performs nearly as well as a fully-supervised one. This finding underscores the critical role of pixels around semantic boundaries in helping the model to learn representations suitable for segmentation.…”
    Thesis
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    Acoustic data communication for industrial drilling applications by Goh, Cher Shin.

    Published 2013
    “…This report relates the author’s findings with regards to the project.…”
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    Final Year Project (FYP)
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