Case study for digital cultural content mining

Abstract

In this chapter we consider an application case of Deep Learning in the task of architectural recognition. The main objective is to identify both: architectural styles and specific architectural structures. We are interested in attention mechanisms in Deep CNNs and explain how real visual attention maps built upon human gaze fixations can help in the training of deep neural networks.