title: Image interpretation by a single bottom-up top-down cycle.
abstract: The human visual system recognizes objects and their constituent parts rapidly and with high accuracy. Standard models of recognition by the visual cortex use feed-forward processing, in which an object's parts are detected before the complete object. However, parts are often ambiguous on their own and require the prior detection and localization of the entire object. We show how a cortical-like hierarchy obtains recognition and localization of objects and parts at multiple levels nearly simultaneously by a single feed-forward sweep from low to high levels of the hierarchy, followed by a feedback sweep from high- to low-level areas.
authors.affiliation: Department of Computer Science, The Weizmann Institute of Science, Rehovot 76100, Israel.
authors.forename: Boris
authors.initials: B
authors.lastname: Epshtein
authors.forename: Ita
authors.initials: I
authors.lastname: Lifshitz
authors.forename: Shimon
authors.initials: S
authors.lastname: Ullman
mesh_terms: D002540:Cerebral Cortex / Q000502:physiology*; D025461:Feedback, Physiological; D006801:Humans; D008959:Models, Neurological; D010364:Pattern Recognition, Visual / Q000502:physiology*; D010775:Photic Stimulation / Q000379:methods
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