ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations.
Junjun YanXinhai ChenZhichao WangEnqiang ZhouiJie LiuPublished in: CoRR (2023)
Keyphrases
- partial differential equations
- neural network
- level set
- anisotropic diffusion
- numerical solution
- image denoising
- image processing
- image enhancement
- energy functional
- differential equations
- numerical algorithms
- numerical methods
- fourth order
- high order
- mathematical morphology
- pattern recognition
- multiscale
- diffusion equation
- finite difference
- finite difference method
- training set
- numerical scheme
- problems in image processing
- semi supervised learning
- semi supervised
- object recognition
- curve evolution
- boundary value problem