mlsanityData to 14 Oct 2026

DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer

arXiv 1510.02131 ↗First posted 7 Oct 2015cs.CVcited by 7

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Abstract (arXiv)

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.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Oct 2015.

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Citing papers per year: 2021: 2; 2022: 4; 2023: 1.

7 papers.