Region proposal network based on context information feature fusion for vehicle detection

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2022-01-27 DOI:10.4108/eai.27-1-2022.173161

Zengyong Xu

引用次数: 0

Abstract

By using the traditional methods, the feature information extracted from vehicle target detection is insufficient, which leads to the low accuracy in identifying small target vehicles or blocked targets. Therefore, we propose a region proposal network (RPN) based on context information feature fusion for vehicle detection. RPN obtains feature vectors of fixed length as vehicle target features. Context information fusion network obtains the corresponding context information features on the feature maps of different layers. Finally, the two features are fused. In addition, in order to solve the problem of data imbalance, experiments on PASCAL VOC2007 and PASCAL VOC2012 data sets with difficult sample training show that the proposed method has significantly improved the mean average accuracy (mAP) compared with other methods.

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基于上下文信息特征融合的区域建议网络用于车辆检测

传统方法从车辆目标检测中提取的特征信息不足，导致在识别小目标车辆或被遮挡目标时准确率较低。为此，我们提出了一种基于上下文信息特征融合的区域建议网络(RPN)用于车辆检测。RPN获取固定长度的特征向量作为车辆目标特征。上下文信息融合网络在不同层的特征映射上获得相应的上下文信息特征。最后，将这两个特征进行融合。此外，为了解决数据不平衡的问题，在PASCAL VOC2007和PASCAL VOC2012两组样本训练难度较大的数据集上进行的实验表明，与其他方法相比，本文提出的方法显著提高了平均精度(mAP)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.