Metric learning isnt really a new buzz word, its been in use for these types of approaches for several years now. Its a good framework to collectively think about these approaches but there is some overlap; eg. self-attention can be viewed as a form of metric learning as a stand-alone layer, eg. in ViT How to relate the input patch embeddings to one another s.t we can discriminate between the classes?