Application of metric learning for logo recognition
Typical approaches of solving classification problems require the collection of a dataset for each new class and retraining of the model. Metric learning allows you to train a model once and then easily add new classes with 5-10 reference images.
So we’ll talk about metric learning based on YouScan experience: task, data, different losses and approaches, metrics we used, pitfalls and peculiarities, things that worked and didn’t.
- Data Scientist at YouScan
- Main field of interest is CV, where she has experience in solving different problems (object detection, image classification, metric learning etc)