Deep Metric Learning using Similarities from Nonlinear Rank Approximations

Konstantin Schall, Kai Uwe Barthel, Nico Hezel +1

In recent years, deep metric learning has achieved promising results in learning high dimensional semantic feature embeddings where the spatial relationships of the feature vectors…