Transformer-based Weakly-Supervised Change Detection with Informed Priors

The core message of this work is to develop an efficient transformer-based model, TransWCD, for weakly-supervised change detection (WSCD) and further enhance it by incorporating global-scale and local-scale priors to address the challenge of change missing and fabricating.