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SEED: Simplified Remote Sensing Change Detection by hocabi9921 is a document available to read on EtoBox.

The document introduces SEED (Siamese Encoder–Exchange–Decoder), a novel framework for remote sensing change detection that replaces traditional explicit differencing methods with a parameter-free feature exchange mechanism. This approach preserves original features and enhances information flow between bi-temporal images, achieving competitive performance across multiple benchmarks while simplifying the model architecture. The research demonstrates that SEED can effectively convert existing semantic segmen

Author
hocabi9921
Language
EN