Patent ID: 11928185
Assignee: FUJITSU LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 19:
20. An electronic device, comprising:
a memory configured to store instructions; and
a processor, coupled to the memory, that is configured to execute the instructions to perform a process comprising:
receiving an image dataset;
training a Generative Adversarial Network (GAN) model based on the received image dataset;
generating, by the GAN model, a set of images each associated with a first class from a set of classes associated with the received image dataset;
determining, by a neural network model different from the GAN model, a first saliency map associated with a first image from the generated set of images;
determining, by the neural network model, a second saliency map associated with a second image from the received image dataset, the second image is associated with the first class;
determining a first interpretability coefficient associated with the trained GAN model, based on the determined first saliency map and the determined second saliency map;
determining a first typicality score between a first set of images from the received image dataset and the first image, based on the trained GAN model, each of the first set of images is associated with the first class;
determining a second typicality score between a pair of images from the generated set of images, based on the trained GAN model;
determining a second interpretability coefficient associated with the trained GAN model, based on the determined first typicality score and the determined second typicality score;
determining an interpretability score associated with the trained GAN model based on the determined first interpretability coefficient and the determined second interpretability coefficient; and
rendering the determined interpretability score on a display device.