Fairness in visual clustering: a novel transformer clustering approach

A system comprising a processor coupled to a memory, wherein the processor is operable to implement a method comprising:

• determining demographic bias of the images in each of the multiple clusters of the model via a cluster purity evaluation module;
• encouraging a demographic fairness consistency for each of the multiple clusters via a loss function module to maintain fairness of the model;
• identifying, via a cross-attention module, correlations between each of the multiple clusters;
• and
• strengthening, via the cross-attention module, samples to have a stronger relationship with a centroid of each of the multiple clusters.

A computer-program product comprising a non-transitory computer-usable medium having computer-readable program code embodied therein, the computer-readable program code adapted to be executed to implement a method comprising:

• determining demographic bias of the images in each of the multiple clusters of the model via a cluster purity evaluation module;
• encouraging a demographic fairness consistency for each of the multiple clusters via a loss function module to maintain fairness of the model;
• identifying, via a cross-attention module, correlations between each of the multiple clusters;
• and
• strengthening, via the cross-attention module, samples to have a stronger relationship with a centroid of each of the multiple clusters.