Processing of incomplete images by (graph) convolutional neural networks

Tomasz Danel, Marek Śmieja, Łukasz Struski +2

We investigate the problem of training neural networks from incomplete images without replacing missing values. For this purpose, we first represent an image as a graph, in which m…