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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.doi:10.1109/cvprw.2014.35 dblp:conf/cvpr/KawanoY14 fatcat:sgsjseqdgbgszayepc6l2qwvla