2 papers
cs.LG2026
CoVar: Confidence-Variance-Guided Pseudo-Label Selection for Semi-Supervised Learning
Jinshi Liu, Lei He, Pan Liu
Pseudo-label selection in semi-supervised learning is commonly driven by maximum-confidence thresholds, yet confidence alone can be unreliable under model overconfidence and class…
cs.CV2025
When Confidence Fails: Revisiting Pseudo-Label Selection in Semi-supervised Semantic Segmentation
Pan Liu, Jinshi Liu
While significant advances exist in pseudo-label generation for semi-supervised semantic segmentation, pseudo-label selection remains understudied. Existing methods typically use f…