HAL - INRIA :: [hal-00203726, version 1] Learning saliency maps for object categorization

hal-00203726, version 1

Learning saliency maps for object categorization

Franck Moosmann ¹, Diane Larlus ¹, Frédéric Jurie () ¹

International Workshop on The Representation and Use of Prior Knowledge in Vision (in ECCV '06) (2006)

Abstract: We present a novel approach for object category recognition that can find objects in challenging conditions using visual attention technique. It combines saliency maps very closely with the extraction of random subwindows for classification purposes. The maps are built online by the classifier while being used by it to classify the image.

1: LEAR (IMAG-INRIA Rhône-Alpes / GRAVIR)
CNRS : FR71 – CNRS : UMR5527 – INRIA – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG)

hal-00203726, version 1
http://hal.archives-ouvertes.fr/hal-00203726
oai:hal.archives-ouvertes.fr:hal-00203726
From: Véronique Rocher <>
Submitted on: Monday, 21 January 2008 14:17:41
Updated on: Friday, 3 December 2010 12:04:38

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