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Frivos de Guyanes, a Senior Research Fellow in grass science at the International Center for Radiation Research, presents research on change detection using very high-resolution aerial images. Change detection, in computer vision, involves analyzing two images to create a single semantic segmentation mask. This process requires understanding semantic segmentation, where each pixel in the image is assigned a class label. For instance, different instances of the same object, like cubes, receive the same label without distinguishing between them. The presentation also touches on the modeling approach and hypotheses used in their methodology.