Beyond Gradient Descent for Regularized Segmentation Losses

Dmitrii Marin, Meng Tang, Ismail Ben Ayed +1

The simplicity of gradient descent (GD) made it the default method for training ever-deeper and complex neural networks. Both loss functions and architectures are often explicitly…