Information processing systems, information processing methods, and programs

Abstract

To allow for consideration of the difficulty of further training the learning model. [Solution] An information processing system that generates a first image and perturbations applied to the first image. An image acquisition unit acquires the resulting second image, and an image acquisition unit acquires the first feature quantity from the first image, and A feature acquisition unit that acquires a second feature from image 2, and the distance between the first and second feature quantities The system includes an evaluation value determination unit that determines the evaluation value of a second image such that the value increases as the value increases. It is characterized by the following.

Claims

1. An image acquisition unit that acquires a first image and a second image generated by applying a perturbation to the first image, A feature acquisition unit that acquires a first feature from the first image and a second feature from the second image, An evaluation value determination unit that determines the evaluation value of the second image such that it increases as the distance between the first and second feature quantities increases, Equipped with, The evaluation value determination unit determines the evaluation value such that it increases as the similarity between the first and second images increases and the distance increases. Information processing system.

2. The information processing system according to claim 1, wherein the evaluation value determination unit applies a penalty to the evaluation value when the similarity is less than or equal to a predetermined value.

3. The information processing system according to claim 1, wherein the feature acquisition unit acquires the feature quantities using a plurality of different feature extractors, and normalizes the acquired feature quantities by weighting and averaging them.

4. The image acquisition unit acquires the first image, The system includes an image generation unit that generates a second image by perturbing the first image, The information processing system according to claim 1.

5. The information processing system according to claim 4, wherein the image generation unit injects probabilistic noise.

6. The information processing system according to claim 4, wherein the image generation unit injects diffuse noise into the latent spatial representation of the generation model, decodes the latent spatial representation, and generates the second image.

7. The steps include obtaining a first image and a second image generated by perturbing the first image, The steps include obtaining a first feature from the first image and obtaining a second feature from the second image, A step of determining the evaluation value of the second image such that it increases as the distance between the first and second feature quantities increases, The computer executes this, In the step of determining the evaluation value of the second image, the computer determines the evaluation value such that it increases as the similarity between the first and second images increases and the distance increases. Information processing methods.

8. The steps include obtaining a first image and a second image generated by perturbing the first image, The steps include obtaining a first feature from the first image and obtaining a second feature from the second image, A step of determining the evaluation value of the second image such that it increases as the distance between the first and second feature quantities increases, Have the computer run it, In the step of determining the evaluation value of the second image, the computer is instructed to determine the evaluation value such that it increases as the similarity between the first and second images increases and the distance increases. A program for that purpose.

Images