Flow-CDNet jointly trains an optical flow branch and a change detection branch to detect both slow displacements and fast appearance/disappearance changes in bitemporal images, reporting FEPE 0.869 on a self-built synthetic dataset.
Raft: Recurrent all-pairs field transforms for optical flow
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Flow-CDNet: A Novel Network for Detecting Both Slow and Fast Changes in Bitemporal Images
Flow-CDNet jointly trains an optical flow branch and a change detection branch to detect both slow displacements and fast appearance/disappearance changes in bitemporal images, reporting FEPE 0.869 on a self-built synthetic dataset.