CANet trains a shared change detection backbone on one dataset, then adapts to new datasets by updating only lightweight adapters with per-dataset batch normalization and an attention mask.
Dasnet: Dual attentive fully convolutional siamese networks for change detection in high-resolution satellite images
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Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection
CANet trains a shared change detection backbone on one dataset, then adapts to new datasets by updating only lightweight adapters with per-dataset batch normalization and an attention mask.