When Noise Meets Long-Tail: Feature-Threshold Dual Calibration for Robust Pseudo-Labeling.

arXiv:2609.33668v1 Announce Type: cross Abstract: Pseudo-labeling has become a cornerstone of learning from unlabeled data in semantic segmentation. Yet its effectiveness drops sharply in real-world scenarios where strong imaging noise and long-tailed class di