No Fuss Distance Metric Learning Using Proxies
No Fuss Distance Metric Learning Using Proxies
We address the problem of distance metric learning (DML), defined as learning a distance consistent with a notion of semantic similarity. Traditionally, for this problem supervision is expressed in the form of sets of points that follow an ordinal relationship - an anchor point x is similar to a set …