Ring Loss: Convex Feature Normalization for Face Recognition
Ring Loss: Convex Feature Normalization for Face Recognition
We motivate and present Ring loss, a simple and elegant feature normalization approach for deep networks designed to augment standard loss functions such as Softmax. We argue that deep feature normalization is an important aspect of supervised classification problems where we require the model to represent each class in a …