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A research team has introduced DepthCropSeg, a powerful, depth-informed crop segmentation approach that achieves near-supervised performance without ...
Although significant advances have been made in the semantic segmentation of high-resolution remote sensing (RS) images, obtaining accurate pixelwise annotations remains resource-intensive. We propose ...
CNNs and Transformer-based architectures are recently dominating the field of 3D medical segmentation. While CNNs face limitations in the local receptive field, Transformers require significant memory ...