Overview of Few Shot Learning Method
It refers to the training algorithms for machine learning using a minimal set of training data rather than an extensive set. This is most appropriate in the field of computer vision, where it is desirable to have a model of object categorization work well without thousands of examples of training.
Xenonstack Glossary
