Quantized convolutional neural networks through the lens of partial differential equations.
Ido Ben-YairGil Ben ShalomMoshe EliasofEran TreisterPublished in: CoRR (2021)
Keyphrases
- partial differential equations
- convolutional neural networks
- level set
- convolutional network
- image denoising
- anisotropic diffusion
- numerical solution
- image processing
- curve evolution
- multiscale
- image enhancement
- numerical algorithms
- problems in image processing
- conservation laws
- difference equations
- energy functional
- fourth order
- finite difference
- numerical scheme
- numerical methods
- mathematical morphology
- differential equations
- finite difference method
- high order
- computer vision
- denoising
- image segmentation