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Attention in hierarchical models of object recognition

Walther, Dirk B. and Koch, Christof (2007) Attention in hierarchical models of object recognition. Progress in Brain Research, 165 . pp. 57-78. ISSN 0079-6123. doi:10.1016/S0079-6123(06)65005-X.

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Object recognition and visual attention are tightly linked processes in human perception. Over the last three decades, many models have been suggested to explain these two processes and their interactions, and in some cases these models appear to contradict each other. We suggest a unifying framework for object recognition and attention and review the existing modeling literature in this context. Furthermore, we demonstrate a proof-of-concept implementation for sharing complex features between recognition and attention as a mode of top-down attention to particular objects or object categories.

Item Type:Article
Related URLs:
URLURL TypeDescription
Koch, Christof0000-0001-6482-8067
Additional Information:Copyright © 2007 Elsevier. Thomas Serre and Tomaso Poggio collaborated on parts of the work on sharing features between object detection and top-down attention. We would like to thank Karen F. Bernhardt-Walther, Kerstin Preuschoff, and Daniel Simons for helpful discussions and feedback on versions of the manuscript. This work was funded by DARPA, the NSF, the NIH, the NIMH, the ONR, the Keck Foundation, and a Beckman Postdoctoral Fellowship to D.B.W.
Group:Koch Laboratory (KLAB)
Funding AgencyGrant Number
U.S. Office of Naval ResearchUNSPECIFIED
Keck FoundationUNSPECIFIED
Beckman Postdoctoral FellowshipUNSPECIFIED
Subject Keywords:attention; object recognition; modeling; object-based attention; bottom-up attention; top-down attention
Record Number:CaltechAUTHORS:20130816-103304790
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:40618
Deposited By: KLAB Import
Deposited On:16 Jan 2008 03:35
Last Modified:10 Nov 2021 00:07

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