Dual Consistency Learning for Weakly Supervised Change Detection With SAM-Based Priors
Most existing change detection methods rely on supervised learning and require costly pixel-level annotations. Weakly supervised change detection (WSCD) alleviates this burden by using only image-level labels. Existing image-level WSCD methods usually generate class activation maps (CAMs) through change classification...