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Next-Frequency Autoregressive Modeling for Remote Sensing Change Detection
Remote sensing change detection identifies land-cover changes from bi-temporal images. Most existing methods follow a one-shot dense prediction paradigm, directly regressing a change mask from fused features, but overlook the intrinsic frequency characteristics of change patterns. We propose Freq-Re
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