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Abstract: Background subtraction is a core problem in computer vision, widely used in video surveillance to segment moving foreground objects from video sequences. While deep learning approaches have ...

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Abstract: Supervised deep learning neural networks provide an accurate method for synthetic aperture radar (SAR) image semantic segmentation, but require training that relies heavily on high-quality ...