Reply to Theeuwes: Fast Feature-based Top-down Effects, but Saliency May be Slow
نویسندگان
چکیده
منابع مشابه
Top down saliency estimation via superpixel-based discriminative dictionaries
Predicting where humans look in images has gained significant popularity in recent years. In this work, we present a novel method for learning top-down visual saliency, which is well-suited to locate objects of interest in complex scenes. During training, we jointly learn a superpixel based class-specific dictionary and a Conditional Random Field (CRF). While using such a discriminative diction...
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When people try to find particular objects in natural scenes they make extensive use of knowledge about how and where objects tend to appear in a scene. Although many forms of such "top-down" knowledge have been incorporated into saliency map models of visual search, surprisingly, the role of object appearance has been infrequently investigated. Here we present an appearance-based saliency mode...
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Automatic compilation of the linking relation employed in certain parsing algorithms for context-free languages is examined. Special problems arise in the extension of these algorithms to the possibly infinite domain of feature structures. A technique is proposed which is designed specifically for left-recursive categories and is based on the generalization of their occurrences in a derivation....
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This paper presents an approach for top-down saliency detection guided by visual classification tasks. We first learn how to compute visual saliency when a specific visual task has to be accomplished, as opposed to most state-of-theart methods which assess saliency merely through bottom-up principles. Afterwards, we investigate if and to what extent visual saliency can support visual classifica...
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ژورنال
عنوان ژورنال: Journal of Cognition
سال: 2018
ISSN: 2514-4820
DOI: 10.5334/joc.23