I have two questions about the nice paper "Learn to Augment: Joint Data Augmentation and Network Optimization
for Text Recognition":
1. In LIne 9 of the Algorithm 1, why the Agent network update towards -S'? I don't understand why -S' is a harder moving state.
2. As for the agent initialization, what is the initialization direction of the 2*(N+1) fiducial points?
I have two questions about the nice paper "Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition":