Vehicle Type Classification Using a Semisupervised Convolutional Neural Network

Abstract

In this paper, we propose a vehicle type classification method using a semisupervised convolutional neural network from vehicle frontal-view images. In order to capture rich and discriminative information of vehicles, we introduce sparse Laplacian filter learning to obtain the filters of the network with large amounts of unlabeled data. Serving as the… (More)
DOI: 10.1109/TITS.2015.2402438

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Statistics

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Citations per Year

Citation Velocity: 55

Averaging 55 citations per year over the last 3 years.

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