No Pairs Left Behind: Improving Metric Learning with Regularized Triplet Objective

A. Ali Heydari, Naghmeh Rezaei, Daniel J. McDuff +1

We propose a novel formulation of the triplet objective function that improves metric learning without additional sample mining or overhead costs. Our approach aims to explicitly r…