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.

Related Material


[pdf]
[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}
}