Single Stage Vehicle Logo Detector Based on Multi-Scale Prediction
Single Stage Vehicle Logo Detector Based on Multi-Scale Prediction
复制标题
基于多尺度预测的单级车辆标志检测器
DOI：
10.1587/transinf.2020edp7088
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发表时间：
2020-10
影响因子：
0.7
通讯作者：
Lu Huimin
中科院分区：
文献类型：
--
作者：
Zhang Junxing;Yang Shuo;Bo Chunjuan;Lu Huimin
Vehicle logo detection technology is one of the research directions in the application of intelligent transportation systems. It is an important extension of detection technology based on license plates and motorcycle types. A vehicle logo is characterized by uniqueness, conspicuousness, and diversity. Therefore, thorough research is important in theory and application. Although there are some related works for object detection, most of them cannot achieve real-time detection for different scenes. Meanwhile, some real-time detection methods of single-stage have performed poorly in the object detection of small sizes. In order to solve the problem that the training samples are scarce, our work in this paper is improved by constructing the data of a vehicle logo (VLD-45-S), multistage pre-training, multi-scale prediction, feature fusion between deeper with shallow layer, dimension clustering of the bounding box, and multiscale detection training. On the basis of keeping speed, this article improves the detection precision of the vehicle logo. The generalization of the detection model and anti-interference capability in real scenes are optimized by data enrichment. Experimental results show that the accuracy and speed of the detection algorithm are improved for the object of small sizes. key words: vehicle logo detection, VLD-45-S, single-stage detector, multiscale prediction, feature fusion
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DOI：
--
发表时间：
2016-02
期刊：
ArXiv
影响因子：
--
作者：
F. Iandola;Matthew W. Moskewicz;Khalid Ashraf;Song Han;W. Dally;K. Keutzer
通讯作者：
F. Iandola;Matthew W. Moskewicz;Khalid Ashraf;Song Han;W. Dally;K. Keutzer
DOI：
10.1109/tpami.2018.2858826
发表时间：
2020-02-01
影响因子：
23.6
作者：
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通讯作者：
Dollar, Piotr
影响因子：
2.7
作者：
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Kanesan, Jeevan
DOI：
10.1109/iscid.2014.12
发表时间：
2014-12
期刊：
2014 Seventh International Symposium on Computational Intelligence and Design
影响因子：
--
作者：
Quan Sun;Xiaobo Lu;Lin Chen;Haihui Hu
通讯作者：
Quan Sun;Xiaobo Lu;Lin Chen;Haihui Hu
影响因子：
5
作者：
Shuo Yang;Junxing Zhang;Chunjuan Bo;Meng Wang;Lijun Chen
通讯作者：
Shuo Yang;Junxing Zhang;Chunjuan Bo;Meng Wang;Lijun Chen