Patent ID: 11861471
Assignee: DST TECHNOLOGIES, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. A method of computer vision analysis of images that identifies graphical features in images via a few-shot model comprising:
training a first machine learning model via a set of images, the set of images each including graphical features, wherein the set of images is a few-shot;
for each image of the set of images, generating a respective vector representative of each of the set of images;
inputting a query image to the trained machine learning model, the query image including a query combination of graphic features using graphic features found within the few-shot and represented by the matrix of graphic features;
generating a query vector representative of the query image;
performing a pairwise comparison based on the query vector and the respective vectors, wherein the pairwise comparison indicates flail graphical features in common between the query image and each of the set of images respectively; and
deriving the graphical features present in the query image based on said pairwise comparison.