A Pulse-Coupled Neural Network as A Simplified Bottom-Up Visual Attention Model

摘要

This work presents a bottom-up visual attention model based on a Pulse-Coupled Neural Network for scene segmentation. Each object in a given scene is represented by a synchronized pulse train, while different objects fire at different phases. Taking this