I have seen that a center loss is beneficial in computer vision, especially in face recognition. I have tried to understand this concept from the following material
- A Discriminative Feature Learning Approach for Deep Face Recognition
However, I could not understand the concept clearly. If someone can explain with the help of an example, that would be appreciated.