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AdaFocal

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TOOL · CL_218845 · Aug 26 · 04:00

New Focal Calibration Loss aims to improve classifier probability accuracy

Researchers have introduced Focal Calibration Loss (FCL), a novel objective for deep neural classifiers designed to improve confidence calibration in probability outputs. FCL integrates a squared probability-error term …