An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations

23 Feb 2019A. DeliegeA. CioppaM. Van Droogenbroeck

Neural networks designed for the task of classification have become a commodity in recent years. Many works target the development of more effective networks, which results in a complexification of their architectures with more layers, multiple sub-networks, or even the combination of multiple classifiers, but this often comes at the expense of producing uninterpretable black boxes... (read more)

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