Local Convolutional Features with Unsupervised Training for Image Retrieval Mattis Paulin, Matthijs Douze, Zaid Harchaoui, Julien Mairal, Florent Perronnin, Cordelia Schmid To cite this version: Mattis Paulin, Matthijs Douze, Zaid Harchaoui, Julien Mairal, Florent Perronnin, et al.. Local Convolutional Features with Unsupervised Training for Image Retrieval. ICCV 2015 - IEEE International Conference on Computer Vision, Dec 2015, Santiago, Chile. IEEE, pp.91-99, <10.1109/ICCV.2015.19>. HAL Id: hal-01207966 https://hal.inria.fr/hal-01207966 Submitted on 1 Oct 2015 HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques
