2025
Diversity Matters: Co-training for Semi-Supervised Change Detection in Remote Sensing Images
ICASSP 2025accepted
General change detection (CD) methods require extensive annotated data to ensure effective performance, yet the annotation of remote sensing (RS) bi-temporal images is significantly time-consuming and labor-intensive. While numerous RS methods have employed semi-supervised (SS) learning to tackle th…