Technical GlossaryComputer Vision

Metric Learning for Vision

An approach that builds comparison-based visual systems by bringing similar examples closer and separating different ones in embedding space.

Metric learning is crucial in visual problems where decisions are based on similarity rather than direct classification. It is widely used in face recognition, product matching, re-identification, and anomaly detection. The goal is to build an embedding space that is as discriminative and reliable as a good classifier. It is one of the central representation principles behind retrieval-oriented visual systems.