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Oscillatory-state alignment in AOSNET significantly enhances forecasting accuracy in non-stationary time series, outperforming traditional fixed-template methods.
Background leakage in image editing can be effectively mitigated by SAM-Flow's localized approach, ensuring high fidelity in semantic modifications.
