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  1. 1

    Emergent semantic segmentation: training-free dense-label-free extraction from vision-language models by Luo, Jiayun

    Published 2024
    “…From an enormous amount of image-text pairs, large-scale vision-language models (VLMs) learn to implicitly associate image regions with words, which is vital for tasks such as image captioning and visual question answering. …”
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    Thesis-Master by Research
  2. 2

    Visualizing interpretations of deep neural networks by Ta, Quynh Nga

    Published 2023
    “…The evolution of Convolutional Neural Networks and new approaches like Vision Transformers has led to better performance in computer vision. …”
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    Final Year Project (FYP)