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.
Fccdn: Feature constraint net- work for vhr image change detection.ISPRS Journal of Pho- togrammetry and Remote Sensing, 187:101–119, 2022
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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.