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An event-based implementation of saliency-based visual attention for rapid scene analysis
The saliency map model, originally developed to understand the process of selective attention in the primate visual system, has also been extensively used in computer vision.
Hierarchically Modular Dynamical Neural Network Relaxing in a Warped Space: Basic Model and its Characteristics
We assume that the system operates in either a learning or an association mode, depending on the presence or absence of feedback paths and input ports.
A Neuromorphic Proto-Object Based Dynamic Visual Saliency Model with an FPGA Implementation
The ability to attend to salient regions of a visual scene is an innate and necessary preprocessing step for both biological and engineered systems performing high-level visual tasks (e. g. object detection, tracking, and classification).
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