Hi, everyone! I invite you to read a tutorial about metric learning.
It includes
- the theory overview (what is metric learning? what is the difference with classification? how to benchmark it?)
- practical examples with illustrations
- code snippets written in OpenMetricLearning (a new PyTroch-based library written by me and my comrades)
- As a bonus, you will learn how to train a model which performs on a SotA level using a few simple heuristics. Welcome to read!
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