Ensemble learning in CNN augmented with fully connected subnetworks

19 Mar 2020 Daiki Hirata Norikazu Takahashi

Convolutional Neural Networks (CNNs) have shown remarkable performance in general object recognition tasks. In this paper, we propose a new model called EnsNet which is composed of one base CNN and multiple Fully Connected SubNetworks (FCSNs)... (read more)

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