[1] |
Guo J F,You R X,Huang L F.Mixed vertical-and horizontal-text traffic sign detection and recognition for street-level scene[J].IEEE Access,2020,8:69413-69425.
|
[2] |
Huo Ai-qing,Zhang Wen-le,Li Hao-ping.Traffic road sign recognition based on SqueezeNet model with deep residual network and GRU[J].Computer Engineering & Science,2020,42(11):2030-2036.(in Chinese)
|
[3] |
Wu W,Chen X L,Yang J.Detection of text on road signs from video[J].IEEE Transactions on Intelligent Transportation Systems,2005,6(4):378-390.
|
[4] |
Li Hang,Zhu Ming.A small object detection algorithm based on deep convolutional neural network[J].Computer Engineering & Science,2020,42(4):649-657.(in Chinese)
|
[5] |
Liu X Q,Samarabandu J.Multiscale edge-based text extraction from complex images[C]∥Proc of IEEE International Conference on Multimedia and Expo,2013:1721-1724.
|
[6] |
Neumann L,Matas J.Real-time scene text localization and recognition[C] ∥Proc of the 2012 IEEE Conference on Computer Vision and Pattern Recognition,2012:3538-3545.
|
[7] |
Tian Z,Huang W L,He T,et al.Detecting text in natural image with connectionist text proposal network[C] ∥Proc of European Conference on Computer Vision,2016:56-72.
|
[8] |
Zhou X Y,Yao C,Wen H,et al.EAST:An efficient and accurate scene text detector[C]∥Proc of the 2017 IEEE Confe- rence on Computer Vision and Pattern Recognition,2017:2642-2651.
|
[9] |
Long S B,Ruan J Q,Zhang W J,et al.TextSnake:A flexible representation for detecting text of arbitrary shapes[C]∥Proc of European Conference on Computer Vision,2018:20-36.
|
[10] |
Shi B G,Bai X,Yao C.An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2016,39(11):2298-2304.
|
[11] |
Graves A,Fernández S,Gomez F,et al.Connectionist temporal classification:Labelling unsegmented sequence data with recurrent neural networks[C]∥Proc of the 23rd International Conference on Machine Learning,2006:369-376.
|
[12] |
Simonyan K, Zisserman A.Very deep convolutional networks for large-scale image recognition[C]∥Proc of the International Conference on Learning Representations,2015:1-14.
|
[13] |
He K M,Zhang X Y,Ren S Q,et al.Deep residual learning for image recognition[C]∥Proc of the 2016 IEEE Confe- rence on Computer Vision and Pattern Recognition,2016:770-778.
|
[14] |
Tian S X,Lu S J,Li C S.WeText:Scene text detection under weak supervision [C]∥Proc of the 2017 IEEE International Conference on Computer Vision,2017:1492-1500.
|
[15] |
Ren S Q,He K M,Girshick R,et al.Faster R-CNN:Towards real-time object detection with region proposal networks[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2017,39(6):1137-1149.
|
[16] |
Liu W,Anguelov D,Erhan D,et al.SSD:Single shot multibox detector[C]∥Proc of European Conference on Computer Vision,2016:21-37.
|
[17] |
Redmon J,Divvala S,Girshick R,et al.You only look once:Unified,real-time object detection[C]∥Proc of the 2016 IEEE Conference on Computer Vision and Pattern Recognition,2016:779-788.
|
[18] |
Wang C Y,Mark L H Y,Wu Y H,et al.CSPNet:A new backbone that can enhance learning capability of CNN[C]∥Proc of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2020:390-391.
|
[19] |
Han K, Wang Y H,Tian Q,et al.GhostNet:More features from cheap operations[C]∥Proc of the IEEE/CVF Confe- rence on Computer Vision and Pattern Recognition,2020:1580-1589.
|
[20] |
Howard A G,Zhu M L,Chen B,et al.MobileNets:Efficient convolutional neural networks for mobile vision applications[EB/OL].[2017-04-17].https:∥arxiv.org/abs/1704.04861.
|
[21] |
Hu J,Shen L,Sun G.Squeeze-and-excitation networks[C]∥Proc of the 2018 IEEE Conference on Computer Vision and Pattern Recognition,2018:7132-714.
|
[22] |
Tuo Xiao-ming,Li Yun-hong,Liu Xu,et al.The edge detection algorithm based on Canny operator and threshold segmentation[J].Journal of Xi’an Polytechnic University,2014,28(6):745-749.(in Chinese)
|
[23] |
Otsu N.A threshold selection method from gray-level histograms[J].IEEE Transactions on Systems, Man, and Cybernetics:Systems,1979,9(1):62-66.
|
[24] |
Howard A, Sandler M,Chu G,et al.Searching for mobilenetV3[C]∥Proc of the 2019 IEEE/CVF International Conference on Computer Vision,2019:1314-1324.
|
|
附中文参考文献:
|
[2] |
霍爱清,张文乐,李浩平.基于深度残差网络和GRU的SqueezeNet模型的交通路标识别[J].计算机工程与科学,2020,42(11):2030-2036.
|
[4] |
李航,朱明.基于深度卷积神经网络的小目标检测算法[J].计算机工程与科学,2020,42(4):649-657.
|
[22] |
拓小明,李云红,刘旭,等.基于Canny算子与阈值分割的边缘检测算法[J].西安工程大学学报,2014,28(6):745-749.
|