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Hyuk-Gyu Park

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Open access Aug 2026

Confidence-Calibrated Consistency Matching for Semi-Supervised Image Classification Under Extreme Label Scarcity

This work proposes CCM (Confidence-Calibrated Consistency Matching)—a per-class curriculum threshold, a dual strong-view consistency loss, and a smooth confidence weighting that softly admits borderline pseudo-labels—together with a unified view in which FixMatch, FlexMatch, SoftMatch, and CCM instantiate a single generalized weighting function.

Dong-Hyun Won, Hyuk-Gyu Park, Kwang-Seong Shin · 0 citations