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Inverse Evolution Layers: Physics-informed Regularizers for Deep Neural Networks
These layers can achieve specific regularization objectives and endow neural networks' outputs with corresponding properties of the evolution models.
An Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multi-phase Image Segmentation
In this paper, we propose an active contour model with a local variance force (LVF) term that can be applied to multi-phase image segmentation problems.
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