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ASFR-Net not only bridges the gap between different imaging modalities but also sets a new benchmark for heterogeneous change detection with its innovative spatio-frequency processing.
Achieve state-of-the-art shadow removal in remote sensing images without paired training data by unifying shadow detection and removal into a single framework.
Extracting buildings from satellite imagery in hazy or low-light conditions just got a whole lot better thanks to a new dataset and method that leverages frequency-aware attention and multi-scale guidance.
