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A Reinforcement Learning Approach for Sequential Spatial Transformer Networks
Fatemeh Azimi, DFKI
GTC 2020
In this session, we discuss the applications of reinforcement learning (RL) for computer vision applications such as classification. We describe how we combine the idea of spatial transformer networks with RL to improve the classifiers' robustness against noise and clutter.