Jinshi Liu

When Confidence Fails: Revisiting Pseudo-Label Selection in Semi-supervised Semantic Segmentation

While significant advances exist in pseudo-label generation for semi-supervised semantic segmentation, pseudo-label selection remains understudied. Existing methods typically use fixed confidence thresholds to retain high-confidence predictions as pseudo-labels. However, these methods cannot cope wi…