The article presents a vision-based approach for automatic airport pavement inspection using Unmanned Aerial Vehicles (UAVs) and deep learning. The researchers used an optimised implementation of EfficientNet feature extraction and…
Continue readingThe article presents CaRe-CNN, a cascading refinement convolutional neural network (CNN) model for segmenting myocardial infarcts and microvascular obstructions in magnetic resonance imaging (MRI). The model is fully 3D and…
Continue readingThe article by Francesco Croce and Matthias Hein from University of Tübingen AI Center proposes a new approach to adversarial attacks on image segmentation models. These models typically generate segmentation…
Continue readingIn this paper, the authors introduce Semantic-SAM, a universal image segmentation model designed to enable segmenting and recognizing objects at any desired granularity. The model offers two key advantages: semantic-awareness…
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