Institute of Computing Technology, Chinese Academy IR
Deep Learning for Logo Detection: A Survey | |
Hou, Sujuan1; Li, Jiacheng1; Min, Weiqing2; Hou, Qiang1; Zhao, Yanna1; Zheng, Yuanjie1; Jiang, Shuqiang2 | |
2024-03-01 | |
发表期刊 | ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS |
ISSN | 1551-6857 |
卷号 | 20期号:3页码:23 |
摘要 | Logo detection has gradually become a research hotspot in the field of computer vision and multimedia for its various applications, such as social media monitoring, intelligent transportation, and video advertising recommendation. Recent advances in this area are dominated by deep learning-based solutions, where many datasets, learning strategies, network architectures, and loss functions have been employed. This article reviews the advance in applying deep learning techniques to logo detection. First, we discuss a comprehensive account of public datasets designed to facilitate performance evaluation of logo detection algorithms, which tend to be more diverse, more challenging, and more reflective of real life. Next, we perform an in-depth analysis of the existing logo detection strategies and their strengths and weaknesses of each learning strategy. Subsequently, we summarize the applications of logo detection in various fields, from intelligent transportation and brand monitoring to copyright and trademark compliance. Finally, we analyze the potential challenges and present the future directions for the development of logo detection. This study aims better to inform readers about the current state of logo detection and encourage more researchers to get involved in logo detection. |
关键词 | Logo detection computer vision deep learning datasets |
DOI | 10.1145/3611309 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Nature Science Foundation of China[62072289] ; National Nature Science Foundation of China[61972378] ; National Nature Science Foundation of China[U19B2040] ; CAAI-Huawei MindSpore Open Fund |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods |
WOS记录号 | WOS:001153381000012 |
出版者 | ASSOC COMPUTING MACHINERY |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/38352 |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Hou, Sujuan |
作者单位 | 1.Shandong Normal Univ, Sch Informat Sci & Engn, 1 Daxue Rd, Shandong 250358, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, 6 Kexueyuan South Rd, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Hou, Sujuan,Li, Jiacheng,Min, Weiqing,et al. Deep Learning for Logo Detection: A Survey[J]. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,2024,20(3):23. |
APA | Hou, Sujuan.,Li, Jiacheng.,Min, Weiqing.,Hou, Qiang.,Zhao, Yanna.,...&Jiang, Shuqiang.(2024).Deep Learning for Logo Detection: A Survey.ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,20(3),23. |
MLA | Hou, Sujuan,et al."Deep Learning for Logo Detection: A Survey".ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS 20.3(2024):23. |
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