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
· Electronics · 0 citations