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CEAVAD redefines anomaly detection by transforming the inference process into a competition between hazard and benign event hypotheses, leading to superior performance without training data.
CSNet achieves state-of-the-art image fusion by intelligently contrasting clarity and selecting optimal pixels, redefining how we approach multi-focus image challenges.
