Offline 1000-Class Classification on a Smartphone
Yoshiyuki Kawano, Keiji Yanai; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2014, pp. 193-194
Abstract
In this demo, we propose an offline large-scale image classification system on a smartphone. The proposed system can classify 1000-class objects in the ILSVRC2012 dataset in 0.270 seconds. To implement a 1000-class object classification system, we compress the weight vectors of linear classifiers, which leads only slight performance loss.
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bibtex]
@InProceedings{Kawano_2014_CVPR_Workshops,
author = {Kawano, Yoshiyuki and Yanai, Keiji},
title = {Offline 1000-Class Classification on a Smartphone},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2014}
}