The field of metric learning focuses on tailoring distance metrics to better capture the underlying structure in data by learning from examples. By optimising the measure of similarity between samples ...
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, ...
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