Process, artificial neural network, device, computer program and machine-readable storage medium for the semantic segmentation of image data

摘要

Method for the semantic segmentation of image data of an imaging sensor that conserves computation resources by means of an artificial neural network, in particular a convolutional neural network, the artificial neural network having an encoder path, a decoder path, the encoder path merging into the decoder path, wherein the transition takes place via a discriminative path, the following steps taking place in the discriminative path: dividing an input tensor into at least one first slice tensor and at least one second slice tensor as a function of a division function, the input Tensor comes from the encoder path; - connecting the at least one first slice tensor to the at least one second slice tensor as a function of a connection function in order to obtain a class tensor; - outputting the class tensor to the decoder path of the neural network.