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Is bottom-up attention useful for object recognition?

Rutishauser, Ueli and Walther, Dirk B. and Koch, Christof and Perona, Pietro (2004) Is bottom-up attention useful for object recognition? In: CVPR 2004. Proceedings of the 2004 IEEE Computer Society on Computer Vision and Pattern Recognition. Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol.2. IEEE , Los Alamitos, CA, pp. 37-44. ISBN 0-7695-2158-4.

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A key problem in learning multiple objects from unlabeled images is that it is a priori impossible to tell which part of the image corresponds to each individual object, and which part is irrelevant clutter which is not associated to the objects. We investigate empirically to what extent pure bottom-up attention can extract useful information about the location, size and shape of objects from images and demonstrate how this information can be utilized to enable unsupervised learning of objects from unlabeled images. Our experiments demonstrate that the proposed approach to using bottom-up attention is indeed useful for a variety of applications.

Item Type:Book Section
Related URLs:
URLURL TypeDescription DOIConference paper paper
Rutishauser, Ueli0000-0002-9207-7069
Koch, Christof0000-0001-6482-8067
Perona, Pietro0000-0002-7583-5809
Additional Information:© 2004 IEEE. Issue Date: 27 June-2 July 2004. Date of Current Version: 19 July 2004. This project was funded by the NSF Engineering Research Center for Neuromorphic Systems Engineering at Caltech, by an NSF-ITR award, the NIH and the Keck Foundation. The shape estimation code was developed by the authors as part of the ”iNVT“ community effort ( We would like to thank Evolution Robotics for making their robotic vision software development kit available to us. High-resolution background images were provided by TNO Human Factors Research Institute, the Netherlands.
Group:Koch Laboratory (KLAB)
Funding AgencyGrant Number
Center for Neuromorphic Systems Engineering, CaltechUNSPECIFIED
W. M. Keck FoundationUNSPECIFIED
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INSPEC Accession Number8161487
Series Name:Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Record Number:CaltechAUTHORS:20110901-160517067
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Official Citation:Rutishauser, U.; Walther, D.; Koch, C.; Perona, P.; , "Is bottom-up attention useful for object recognition?," Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on , vol.2, no., pp. II-37- II-44 Vol.2, 27 June-2 July 2004 doi: 10.1109/CVPR.2004.1315142 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:25202
Deposited By: Tony Diaz
Deposited On:06 Sep 2011 23:01
Last Modified:09 Nov 2021 16:30

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