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Carnegie Mellon Robotics Institute

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Abstract

In many vision based tasks, the ability to focus attention on the important portions of a scene is crucial for good performance on the tasks. In this paper we present a simple method of achieving spatial selective attention through the use of a saliency map. The saliency map indicates which regions of the input retina are important for performing the task. The saliency map is created through predictive autoencoding. The performance of this method is demonstrated on two simple tasks which have multiple very strong distracting features in the input retina. Architectural extensions and application directions for this model are presented.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Number of pages: 8

Text Reference

Shumeet Baluja and Dean Pomerleau, "Using a Saliency Map for Active Spatial Selective Attention: Implementation & Initial Results," Advances in Neural Information Processing Systems, 1994, pp. 753-760.

BibTeX Reference

@inproceedings{Baluja_1994_1717,
   author = "Shumeet Baluja and Dean Pomerleau",
   title = "Using a Saliency Map for Active Spatial Selective Attention: Implementation & Initial Results",
   booktitle = "Advances in Neural Information Processing Systems",
   pages = "753-760",
   year = "1994",
   volume = "6",
}

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