Latest work by our group describing a novel attentional module for deep neural networks with human-in-the-loop to co-train the network -- leading to improved accuracy and visual features that are more interpretable and more similar to those used by humans.
Global-and-local attention networks for visual recognition. arxiv.org/abs/1805.08819
