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Found 2 papers, 2 papers with code
FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image Segmentation
Based on the variational theory and FAS algorithm, we first design a feature extraction sub-network (FAS-Solution module) to solve the model-driven nonlinear systems, where a skip-connection is employed to fuse the multi-scale features.
SVGD: A Virtual Gradients Descent Method for Stochastic Optimization
Inspired by dynamic programming, we propose Stochastic Virtual Gradient Descent (SVGD) algorithm where the Virtual Gradient is defined by computational graph and automatic differentiation.
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