Systems and methods for image retrieval using super features

Abstract

A training system includes: an iterative attention module configured to, based on first features in input images, determine ordered sets of second features using iterative attention over T iterations, where T is an integer greater than or equal to two; and a training module configured to: selectively input pairs of matching images to the iterative attention module; selectively input non-matching images to the iterative attention module; and based on the ordered sets generated by the iterative attention module based on the input pairs of matching images and the input non-matching images, train the iterative attention module based on minimizing at least one of: a contrastive loss; and a cosine similarity loss.

Dependencies are inferred from the claim text.