Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey

30 Jun 2020Matthias RathAlexandru Paul Condurache

While Deep Neural Networks (DNNs) achieve state-of-the-art results in many different problem settings, they are affected by some crucial weaknesses. On the one hand, DNNs depend on exploiting a vast amount of training data, whose labeling process is time-consuming and expensive... (read more)

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