Deep metric learning (DML) is a rapidly evolving area in computer vision that seeks to learn similarity measures by mapping images into a continuous, low-dimensional embedding space. In this space, ...

In this paper, we propose a cross-validation metric learning approach to learn a distance metric for dimension reduction in the multiple-index model. We minimize a leave-one-out cross-validation-type ...