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arXiv · 1510.02131

DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer

Forrest N. Iandola·Anting Shen·Peter Gao·Kurt Keutzer
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Abstract

Recently, there has been a flurry of industrial activity around logo recognition, such as Ditto's service for marketers to track their brands in user-generated images, and LogoGrab's mobile app platform for logo recognition. However, relatively little academic or open-source logo recognition progress has been made in the last four years. Meanwhile, deep convolutional neural networks (DCNNs) have revolutionized a broad range of object recognition applications. In this work, we apply DCNNs to logo recognition. We propose several DCNN architectures, with which we surpass published state-of-art accuracy on a popular logo recognition dataset.

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Forrest N. Iandola, Anting Shen, Peter Gao, Kurt Keutzer. 2015-10-07. DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer. https://arxiv.org/abs/1510.02131

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