All of these works demonstrate a clear trend away from traditional thresholding and CNN-based methods to transformer-driven architectures, with hybrid models which merge modern learning methods with traditional preprocessing offering promising results for flood scene analysis.
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Optimized flood scene segmentation with swin transformer-based architecture.
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