Université Paris-Saclay (Espace Technologique, Bat. Discovery - RD 128 - 2e ét., 91190 Saint-Aubin - France)
Abstract : This paper describes our participation to the ImageCLEF 2015 scalable concept image annotation task. Our system is only based on visual features extracted with a deep Convolutional Neural Network (CNN). The network is trained with noisy web data corresponding to the concepts to detect in this task. We introduce a simple concept localization pipeline that provides the localization of the detected concepts, among the 251 concepts, within the images.
https://hal-cea.archives-ouvertes.fr/cea-01844059
Contributor : Léna Le Roy <>
Submitted on : Thursday, July 19, 2018 - 10:15:00 AM Last modification on : Monday, February 10, 2020 - 6:13:48 PM
E. Gadeski, H. Le Borgne, A. Popescu. CEA LIST's participation to the scalable concept image annotation task of Image CLEF 2015. 16th Conference and Labs of the Evaluation Forum, CLEF 2015, Sep 2015, Toulouse, France. ⟨cea-01844059⟩