Retinal blood vessel segmentation using a tiny U-Net model with Adaptive Activation Functions.
Tiny U-Net model architecture.
In this model each convolution layer has its own activation function that is a linear combination of 14 base activation functions.
Different Adaptive Activation Functions of the model trained on DRIVE dataset.
Results:
