> Hi, metric learning is an umbrella term like self-supervised learning, detection, and tracking.

This is basically my point, what is the need for an umbrella term? There is an infinitude of ways in which sub topics can be linked together, rather than having:

> people still need some tools and tutorials to solve their problems.

Isn't it better that people appeal towards self-supervised learning, detection, and tracking directly depending on the problem at hand? These sub-topics are sufficiently different that they should be considered quite separately. Even for things like "supervized learning" we consider the sub-problems of regression and classification very differently. Although there is theoretical interest to combine both topics in the discussion of similarities, practically speaking one would choose to take a "classification" or a "regression" task for the specific problem, so that it is ultimately not useful to consider a practical problem as being of "supervized" type, apart from maybe 1-2 sentences in an introduction section of the problem.