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 ...
Abstract: The data-intensive nature of supervised classification drives the interest of the researchers towards unsupervised approaches, especially for problems such as medical image segmentation, ...
RF-DETR is a real-time, transformer-based object detection and instance segmentation model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time ...
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