Method and system for training a neural network to be used for semantic instance segmentation KU Leuven
A method for training iteratively a neural network to be used for semantic instance segmentation, wherein, for each iteration, the neural network outputs a vector (10, 20, 30) for each pixel of a template image, wherein the template image comprises predefined elements each associated with pixels of the template image and the corresponding vectors, characterized in that training the neural network is performed using a loss function defined so that the loss function decreases until reaching a target value at least when: - for each vector belonging to an element, the distance between the vector ...