I've been hoping to look at OP's Open Metric Learning but have been using Pytorch Metric Learning.

I think it's just the emergence of the term for "that kind" of approach. I use metric learning for low k-shot reidentification and it's very well-trodden ground from a research perspective, but it's helpful to distinguish it from a plain-vanilla classification approach.

Cool hypothesis: did any studies come of it?