A teacher-student semi-supervised segmentation model with multi-scale uncertainty filtering and cross-teacher attention beats prior methods on two remote sensing datasets at low labeling ratios.
A modular remote sensing big data framework,
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Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention
A teacher-student semi-supervised segmentation model with multi-scale uncertainty filtering and cross-teacher attention beats prior methods on two remote sensing datasets at low labeling ratios.