RFIW 2017: LPQ-SIEDA for large scale kinship ...
Document type :
Communication dans un congrès avec actes
DOI :
Title :
RFIW 2017: LPQ-SIEDA for large scale kinship verification
Author(s) :
Laiadi, Oualid [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Benakcha, Abdelhamid [Auteur]
Ouamane, Abdelmalik [Auteur]
Tahleb Ahmed, Abdelmalik [Auteur]
Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 [LAMIH]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Benakcha, Abdelhamid [Auteur]
Ouamane, Abdelmalik [Auteur]
Tahleb Ahmed, Abdelmalik [Auteur]
Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 [LAMIH]
Conference title :
Workshop on Recognizing Families In the Wild, RFIW 2017
City :
Mountain View, CA
Country :
Etats-Unis d'Amérique
Start date of the conference :
2017-10-23
Publisher :
ACM
English keyword(s) :
FIW dataset
Large-scale
Large-scale
HAL domain(s) :
Sciences de l'ingénieur [physics]
English abstract : [en]
As a part of the RFIW 2017 Data Challenge Workshop, we demonstrate performance on the large-scale FIW dataset, along with several pre-existing image collections. Noticing available version of SIEDA method work well on ...
Show more >As a part of the RFIW 2017 Data Challenge Workshop, we demonstrate performance on the large-scale FIW dataset, along with several pre-existing image collections. Noticing available version of SIEDA method work well on smaller datasets (i.e. Cornell and UB KinFace datasets) than on FIW, we propose modifications to address this disparity in results.Show less >
Show more >As a part of the RFIW 2017 Data Challenge Workshop, we demonstrate performance on the large-scale FIW dataset, along with several pre-existing image collections. Noticing available version of SIEDA method work well on smaller datasets (i.e. Cornell and UB KinFace datasets) than on FIW, we propose modifications to address this disparity in results.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Source :