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NeurEco Grid

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.

 

Grid classification

 

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.