Modern computer vision is largely based on neural network and machine learning models originally developed within the machine learning community. In this seminar, students study state-of-the-art computer vision models in their historical and methodological context, focusing on selected visual tasks aligned with their academic interests. The seminar emphasizes critical engagement with current research literature, student-led presentations and discussion, and the collaborative preparation of a scientific seminar paper.
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