CPC G06N 20/00 (2019.01) [G06F 17/16 (2013.01); G06F 18/214 (2023.01); G06N 3/045 (2023.01); G06V 10/40 (2022.01); G06V 10/75 (2022.01); G06V 10/764 (2022.01); G06V 10/7715 (2022.01); G06V 10/82 (2022.01); G06V 30/414 (2022.01)] | 20 Claims |
1. A method comprising:
training a few-shot model with a few-shot data set, the few-shot data set including a number of images, each image of the number of images having a combination of graphic features, wherein the few-shot data set does not include every combination of the graphic features;
generating a matrix of graphic features of the few-shot data set;
receiving a query image by the few-shot model, the query image including a query combination of graphic features using graphic features found within the few-shot data set and represented by the matrix of graphic features; and
identifying graphic features present in the query image via the few-shot model based on the matrix of graphic features.
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