Multi-Teacher Divergence Perception Network for Semi-Supervised Semantic Segmentation of Remote Sensing Images
Semi-supervised semantic segmentation can exploit unlabeled remote sensing images to reduce the cost of pixel-level annotation, but its performance is strongly constrained by pseudo-label reliability. Multi-teacher predictions often exhibit structured disagreement around boundaries, small objects, and interclass-confus...