Ensemble Learning in CNN Augmented with Fully Connected Subnetworks

Volume: E106.D, Issue: 7, Pages: 1258 - 1261
Published: Jul 1, 2023
Abstract
Convolutional Neural Networks (CNNs) have shown remarkable performance in image recognition tasks. In this letter, we propose a new CNN model called the EnsNet which is composed of one base CNN and multiple Fully Connected SubNetworks (FCSNs). In this model, the set of feature maps generated by the last convolutional layer in the base CNN is divided along channels into disjoint subsets, and these subsets are assigned to the FCSNs. Each of the...
Paper Details
Title
Ensemble Learning in CNN Augmented with Fully Connected Subnetworks
Published Date
Jul 1, 2023
Volume
E106.D
Issue
7
Pages
1258 - 1261
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