Patch-level spatial layout for classification and weakly supervised localization

Valentina Zadrija 1 Josip Krapac 1 Jakob Verbeek 2 Siniša Šegvić 1
1 FER - Faculty of Electrical Engineering and Computing [Zagreb]
2 LEAR - Learning and recognition in vision
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : We propose a discriminative patch-level spatial layout model suitable for training with weak supervision. We start from a block-sparse model of patch appearance based on the normalized Fisher vector representation. The appearance model is responsible for i) selecting a discriminative subset of visual words, and ii) identifying distinctive patches assigned to the selected subset. These patches are further filtered by a sparse spatial model operating on a novel representation of pairwise patch layout. We have evaluated the proposed pipeline in image classification and weakly supervised localization experiments on a public traffic sign dataset. The results show significant advantage of the proposed spatial model over state of the art appearance models.
Type de document :
Communication dans un congrès
Juergen Gall; Peter Gehler; Bastian Leibe. GCPR - 37th German Conference on Pattern Recognition, Oct 2015, Aachen, Germany. Springer, 9358, pp.492-503, Lecture Notes in Computer Science. 〈http://gcpr2015.rwth-aachen.de/〉. 〈10.1007/978-3-319-24947-6_41〉
Liste complète des métadonnées

Littérature citée [38 références]  Voir  Masquer  Télécharger
https://hal.inria.fr/hal-01186677
Contributeur : Thoth Team <>
Soumis le : jeudi 27 août 2015 - 15:12:25
Dernière modification le : vendredi 27 juillet 2018 - 11:43:24
Document(s) archivé(s) le : samedi 28 novembre 2015 - 10:19:52

Fichier

main68.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

UGA | INRIA | LJK | LJK_GI | LJK_GI_LEAR

Citation

Valentina Zadrija, Josip Krapac, Jakob Verbeek, Siniša Šegvić. Patch-level spatial layout for classification and weakly supervised localization. Juergen Gall; Peter Gehler; Bastian Leibe. GCPR - 37th German Conference on Pattern Recognition, Oct 2015, Aachen, Germany. Springer, 9358, pp.492-503, Lecture Notes in Computer Science. 〈http://gcpr2015.rwth-aachen.de/〉. 〈10.1007/978-3-319-24947-6_41〉. 〈hal-01186677〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

405

Téléchargements de fichiers

291

Contact


archive-ouverte@inria.fr