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Seizure detectors may perform well on clean data but can falter dramatically under real-world conditions, revealing a critical gap in pre-deployment assessments.
Color bias from black-level errors can severely impact low-light image denoising, but a new calibration-free approach effectively corrects this issue, outperforming traditional methods.
