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Oxford Suzhou Centre for Advanced Research, University of Oxford, Suzhou, China
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Non-parametric image inpainting using stochastic dynamics outperforms traditional methods without requiring any neural network training.
RPS-GA boosts few-shot defect detection performance by transforming edge contours into informative spatial maps, achieving up to a 70% increase in mAP with minimal labeled data.
