We are developing a unique parsimonious convolutional approach when the input of the neural network is a grid.
Grid to grid
Can be used when the output is also a grid. This is the case for segmentation, denoising, deblurring and super-resolution applications.
Allows you to know if a given item is present in the input image.
Grid tabular regression
Gives you quantitative information about the input image.