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The L3ViSU project focuses on developing algorithms for continuous machine learning using visual data, aiming to enhance computer vision systems. By integrating contextual knowledge from visual stimuli, it seeks to improve prediction accuracy and reduce manual oversight in visual scene interpretation.
My goal in the project is to develop and analyze algorithms that use continuous, open-ended machine learning from visual input data (images and videos) in order to interpret visual scenes on a level comparable to humans.L3ViSU is based on
the hypothesis that we can only significantly improve the state of the art in computer vision algorithms by giving them access to background and contextual knowledge about the visual world, and that the most feasible way to obtain such
knowledge is by extractin…
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