Using a Saliency mAP for Active Spatial Selective Attention: Implementation & Initial Results
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 cre(cid:173) ated through predictive auto-encoding. The performance of this method is demonstrated on two simple tasks which have multiple very strong distract(cid:173) ing features in the input retina. Architectural extensions and application directions for this model are presented.
Cite
Text
Baluja and Pomerleau. "Using a Saliency mAP for Active Spatial Selective Attention: Implementation & Initial Results." Neural Information Processing Systems, 1994.Markdown
[Baluja and Pomerleau. "Using a Saliency mAP for Active Spatial Selective Attention: Implementation & Initial Results." Neural Information Processing Systems, 1994.](https://mlanthology.org/neurips/1994/baluja1994neurips-using/)BibTeX
@inproceedings{baluja1994neurips-using,
title = {{Using a Saliency mAP for Active Spatial Selective Attention: Implementation & Initial Results}},
author = {Baluja, Shumeet and Pomerleau, Dean A.},
booktitle = {Neural Information Processing Systems},
year = {1994},
pages = {451-458},
url = {https://mlanthology.org/neurips/1994/baluja1994neurips-using/}
}