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School of Artificial Intelligence, Xidian University
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Achieve superior exposure correction by explicitly modelling and addressing spatially non-uniform degradations, a common but often overlooked challenge in real-world images.
Achieve state-of-the-art few-shot anomaly detection in medical imaging by dynamically weighting reference images based on their relevance to the query, enabling effective knowledge transfer from limited normal examples.