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DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer

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.

preprint2015arXivOpen access
Forrest N. IandolaAnting ShenPeter GaoKurt Keutzer
Computer Vision
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Open access4 authors1 topic
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
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Forrest N. IandolaAnting ShenPeter GaoKurt Keutzer

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