Feature-based Attention in Convolutional Neural Networks

Understand

Convolutional neural networks (CNNs) have proven effective for image processing tasks, such as object recognition and classification.

• Recently, CNNs have been enhanced with concepts of attention, similar to those found in biology.
• Much of this work on attention has focused on effective serial spatial processing.
• In this paper, I introduce a simple procedure for applying feature-based attention (FBA) to CNNs and compare multiple implementation options.