Single-temporal Supervised Remote Change Detection for Domain
Generalization
Single-temporal Supervised Remote Change Detection for Domain
Generalization
Change detection is widely applied in remote sensing image analysis. Existing methods require training models separately for each dataset, which leads to poor domain generalization. Moreover, these methods rely heavily on large amounts of high-quality pair-labelled data for training, which is expensive and impractical. In this paper, we propose a …