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Found 4 papers, 3 papers with code
Binary segmentation of medical images using implicit spline representations and deep learning
We adapt several existing neural network architectures and design novel loss functions that are tailored towards providing implicit spline curve approximations.
Real-time processing of high-resolution video and 3D model-based tracking for remote towers
High quality video data is a core component in emerging remote tower operations as it inherently contains a huge amount of information on which an air traffic controller can base decisions.
Void Filling of Digital Elevation Models with Deep Generative Models
In recent years, advances in machine learning algorithms, cheap computational resources, and the availability of big data have spurred the deep learning revolution in various application domains.
BIG-bench Machine Learning
Generative Adversarial Network
+1
Reverse engineering of CAD models via clustering and approximate implicitization
In applications like computer aided design, geometric models are often represented numerically as polynomial splines or NURBS, even when they originate from primitive geometry.
