Method and system for image classification

A system for image classification, the system comprising:

• a memory;
• and
• at least one processor communicatively coupled to the memory and configured to:
• provide a set of category mapping discriminators, each corresponding to a respective category, wherein each category mapping discriminator of the set of category mapping discriminators is configured for discriminating features relating to input images that belong to the respective category of the category mapping discriminator;
• extract a plurality of features from an input image using a machine learning model;
• determine, for each of the set of category mapping discriminators, an output value based on the plurality of extracted features using the category mapping discriminator;
• and
• determine a classification of the input image based on the output values of the set of category mapping discriminators.

A computer program product, embodied in one or more non-transitory computer-readable storage mediums, comprising instructions executable by at least one processor to perform a method of image classification, the method comprising:

• providing a set of category mapping discriminators, each corresponding to a respective category, wherein each category mapping discriminator of the set of category mapping discriminators is configured for discriminating features relating to input images that belong to the respective category of the category mapping discriminator;
• extracting a plurality of features from an input image using a machine learning model;
• determining, for each of the set of category mapping discriminators, an output value based on the plurality of extracted features using the category mapping discriminator;
• and
• determining a classification of the input image based on the output values of the set of category mapping discriminators.