UniCD unifies supervised, weakly-supervised, and unsupervised change detection via a shared encoder and collaborative branches, claiming large accuracy gains in low-supervision settings on datasets like LEVIR-CD.
Unsupervised change detection in mul- titemporal vhr images based on deep kernel pca convolu- tional mapping network.IEEE Transactions on Cybernet- ics, 52(11):12084–12098
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Bridging Supervision Gaps: A Unified Framework for Remote Sensing Change Detection
UniCD unifies supervised, weakly-supervised, and unsupervised change detection via a shared encoder and collaborative branches, claiming large accuracy gains in low-supervision settings on datasets like LEVIR-CD.