Deep Learning for Computer Vision

Similarity Learning

In this chapter, we will learn about similarity learning and learn various loss functions used in similarity learning.  Similarity learning us useful when the dataset is small per class. We will understand different datasets available for face analysis and build a model for face recognition, landmark detection. We will cover the following topics in this chapter:

• Different algorithms for similarity learning
• Various loss functions used for similarity learning
• A variety of scenarios in which such models can be used
• The complete process of face recognition