[1] Jiang S J, Luo B, Liu J et al[J]. Real-time vehicle detection based on UAV Bulletin of Surveying and Mapping, 2017, 164-168.

[2] Fang L P, He H J, Zhou G M. Research overview of object detection methods[J]. Computer Engineering and Applications, 54, 11-18, 33(2018).

[3] Li Z, Huang M H. Vehicle detections based on YOLO_v2 in real-time[J]. China Mechanical Engineering, 29, 1869-1874(2018).

[4] Cao G M, Xie X M, Yang W Z et al. Feature-fused SSD: fast detection for small objects[J]. Proceedings of SPIE, 10615, 106151E(2018).

[5] Ren Z J, Lin S Z, Li D W et al. Mask R-CNN object detection method based on improved feature Pyramid[J]. Laser & Optoelectronics Progress, 56, 041502(2019).

[6] Chen L L, Zhang Z D, Peng L. Real-time detection based on improved single shot MultiBox detector[J]. Laser & Optoelectronics Progress, 56, 011002(2019).

[7] Girshick R, Donahue R. McAllester D,et al. Rich feature hierarchies for accurate object detection and semantic segmentation. [C] ∥2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 16526932(2014).

[8] Girshick R. Fast R-CNN. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 1440-1448(2015).

[9] 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, 39, 1137-1149(2017).

[10] Dai J, Li Y, He K et al. R-FCN: object detection via region-based fully convolutional networks. [C]∥Advances in Neural Information Processing Systems, December 5-10, 2016, Barcelona, Spain. Canada: NIPS, 379-387(2016).

[11] He K, Gkioxari G. Dollár P, et a1. Mask R-CNN. [C]∥IEEE Conference on Computer Vision, October 22-29, 2017, Venice, Italy. New York: IEEE, 2961-2969(2018).

[12] Redmon J, Divvala S, Girshick R et al. You only look once: unified, real-time object detection. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 779-788(2016).

[13] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[M]. ∥Leibe B, Matas J, Sebe N, et al. Computer vision - ECCV 2016. Lecture notes in computer science. Cham: Springer, 9905, 21-37(2016).

[14] Redmon J, Farhadi A. YOLO9000: better, faster, stronger. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 6517-6525(2017).

[15] Redmon J. -04-08)[2019-07-15]. https:∥arxiv.gg363., site/abs/1804, 02767(2018).

[16] Li Y P, Hou L Y, Wang C. Vehicle object detection in complex scene based on YOLOv2[J]. Video Engineering, 42, 100-106(2018).

[17] Dai W C, Jin L X, Li G N et al. Real-time airplane detection algorithm in remote-sensing images based on improved YOLOv3[J]. Opto-Electronic Engineering, 45, 84-92(2018).