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Semantic segmentation has become a popular area of research in image processing and computer vision, with deep learning models such as CNNs and GANs showing promising results. These models have been applied to various applications, including scene comprehension and medical diagnosis. However, challenges arise when applying these methods to remote sensing images due to their unique characteristics and diverse object categories.
