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SOWRC combines alert labels with randomized audits through Horvitz–Thompson losses and a martingale-mixture boundary and shows that population risk is non-identifiable when any silent region has zero labeling probability.
Gradient-Aligned Active Federated Object Detection (GA-AFedOD), a unified framework that jointly optimizes annotation selection, client participation, and model aggregation as a constrained stochastic program, is proposed.
Multifocus image fusion (MFIF) is important for vision systems that require both high efficiency and reliable all-in-focus perception, especially in deployment-oriented and resource-constrained scenarios. However, existing deep learning-based MFIF methods often suffer from excessive complexity and empirical hyperparame...
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