[1] |
Du Jin-hang,He Ning.Real-time road vehicles detection based on improved YOLOv3[J].Computer Engineering and Applications,2020,56(11):26-32.(in Chinese)
|
[2] |
Razalli H,Ramli R,Alkawaz M H.Emergency vehicle recognition and classification method using HSV color segmentation[C]∥Proc of the 16th IEEE International Colloquium on Signal Processing & Its Applications (CSPA),2020:284-289.
|
[3] |
Ji Y,Zhong J.Improved HOG feature vehicle recognition algorithm based on sliding window[J].Journal of Physics Conference,2020,1627(1):012013.
|
[4] |
Dubey A R,Shukla N,Kumar D.Detection and classification of road signs using HOG-SVM method [M]∥Smart Comput- ing Paradigms:New Progresses and Challenges.Singapore:Springer,2020:49-56.
|
[5] |
Liu L,Ouyang W,Wang X G,et al.Deep learning for generic object detection:A survey[J].International Journal of Computer Vision,2020,128(2):261-318.
|
[6] |
Girshick R,Donahue J,Darrell T,et al.Rich feature hierarchies for accurate object detection and semantic segmentation[C]∥Proc of the IEEE Conference on Computer Vision and Pattern Recognition,2014:580-587.
|
[7] |
Girshick R.Fast R-CNN[C]∥Proc of the IEEE International Conference on Computer Vision,2015:1440-1448.
|
[8] |
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 and Machine Intelligence,2017,39(6):1137-1149.
|
[9] |
He K M,Gkioxari G,Dollár P,et al.Mask R-CNN[C]∥Proc of the IEEE International Conference on Computer Vision,2017:2980-2988.
|
[10] |
Redmon J,Divvala S,Girshick R,et al.You only look once:Unified,real-time object detection[C]∥Proc of the IEEE Conference on Computer Vision and Pattern Recognition,2016:779-788.
|
[11] |
Liu W,Anguelov D,Erhan D,et al.SSD:Single shot multibox detector[C]∥Proc of European Conference on Computer Vision,2016:21-37.
|
[12] |
Redmon J, Farhadi A.YOLO9000:Better,faster,stronger[C]∥Proc of the IEEE Conference on Computer Vision and Pattern Recognition,2017:6517-6525.
|
[13] |
Redmon J,Farhadi A.YOLOv3:An incremental improvement[J].arXiv:1804.02767,2018.
|
[14] |
Bochkovskiy A,Wang C Y,Liao H Y M.YOLOv4:Optimal speed and accuracy of object detection[J].arXiv:2004.10934,2020.
|
[15] |
Alom M Z,Hasan M,Yakopcic C,et al.Improved inception-residual convolutional neural network for object recognition[J].Neural Computing and Applications,2018,32(1):279-293.
|
[16] |
Liu Chang-yuan, Wang Qi,Bi Xiao-jun.Multi-target and small-scale vehicle target detection method[J].Control and Decision,2021,36(11):2707-2712.(in Chinese)
|
[17] |
Yao Hong-ge,Zhang Wei,Yang Hao-qi,et al.Joint regression object localization based on deep reinforcement learning[J]. Acta Automatica Sinica,2020,41(X):1-10.(in Chinese)
|
[18] |
Zheng Z H, Wang P,Liu W,et al.Distance-IoU loss:Faster and better learning for bounding box regression[C]∥Proc of the AAAI Conference on Artificial Intelligence,2020:12993-13000.
|
[19] |
Yang Hui-ting,Yang Wen-zhong,Yin Ya-bo,et al.Research on K-means clustering algorithm based on deep belief network[J].Modern Electronics Technique,2019,42(8):145-150.(in Chinese)
|
[20] |
Fard M M,Thonet T,Gaussier E.Deep k-means:Jointly clustering with k-means and learning representations[J].Pattern Recognition Letters,2020,138:185-192.
|
[21] |
Cui Wen-liang,Wang Yu-jing,Kang Shou-qiang,et al.Highway lane line detection method based on improved YOLOv3 algorithm[J].Acta Automatica Sinica,2022,48(6):1560-1568.(in Chinese)
|
[22] |
Luo A,Li X,Yang F,et al.Cascade graph neural networks for RGB-D salient object detection[C]∥Proc of European Conference on Computer Vision,2020:346-364.
|
[23] |
Chen Y,Dai X Y,Liu M C,et al.Dynamic ReLU[C]∥Proc of European Conference on Computer Vision,2020:351-367.
|
[24] |
Liu Y,Hou M,Li A,et al.Automatic detection of Timber-Cracks in wooden architectural heritage using YOLOv3 algorithm[J].The International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences,2020,43:1471-1476.
|
|
附中文参考文献:
|
[1] |
杜金航,何宁.基于改进的YOLOv3道路车辆实时检测[J].计算机工程与应用,2020,56(11):26-32.
|
[16] |
柳长源,王琪,毕晓君.多目标小尺度车辆目标检测方法[J].控制与决策,2021,36(11):2707-2712.
|
[17] |
姚红革,张玮,杨浩琪,等.深度强化学习联合回归目标定位[J].自动化学报,2020,41(X):1-10.
|
[19] |
杨慧婷,杨文忠,殷亚博,等.基于深度信念网络的K-means聚类算法研究[J].现代电子技术,2019,42(8):145-150.
|
[21] |
崔文靓,王玉静,康守强,等.基于改进YOLOv3算法的公路车道线检测方法[J].自动化学报,2022,48(6):1560-1568.
|