[1] Llorca D F, Arroyo R, Sotelo M A. Vehicle logo recognition in traffic images using HOG features and SVM[C]//16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013). Hague:IEEE Press, 2013:2229-2234.
[2] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60(2):91-110.
[3] 闫敬文, 陈宏达, 刘蕾. 高光谱图像分类的研究进展[J]. 光学精密工程, 2019, 27(3):680-693. Yan Jingwen, Chen Hongda, Liu Lei. Overview of hyperspectral image classification[J]. Optics and Precision Engineering, 2019, 27(3):680-693.
[4] Zhang X, Yang W, Tang X, et al. A fast learning method for accurate and robust lane detection using two-stage feature extraction with YOLO v3[J]. Sensors, 2018, 18(12), 4308-4320.
[5] Zhang J P, Zhang J M, Yu S. Hot anchors:a heuristic anchors sampling method in rcnn-based object detection[J]. Sensors, 2018, 18(10):3415-3431.
[6] 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). Las Vegas:IEEE Press, 2016:779-788.
[7] Liu W, Anguelov D, Erhan D, et al. Ssd:single shot multibox detector[C]//European Conference on Computer Vision. Amsterdam:Springer press, 2016:21-37.
[8] Girshick R, Donahue J, Darrell T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]//2014 IEEE Conference on Computer Vision and Pattern Recognition. Ohio:IEEE Press, 2014:580-587.
[9] Girshick R. Fast R-CNN[C]//2015 IEEE International Conference on Computer Vision (ICCV).Chile:IEEE Press, 2015:1440-1448.
[10] Ren S, He K, Girshick R, et al. Faster r-cnn:towards real-time object detection with region proposal networks[C]//Advances in Neural Information Processing Systems. Montreal:MIT press, 2015:91-99.
[11] Joseph Redmon, Ali Farhadi. YOLO9000:better, faster, stronger[C]//2017 IEEE Computer Vision and Pattern Recognition (CVPR).Hawaii:IEEE Press, 2017:6517-6525.
[12] Joseph Redmon, Ali Farhadi. YOLOv3:an incremental improvement[J]. arXiv:Computer Vision and Pattern Recognition, 2018:1804,02767.
[13] Bodla N, Singh B, Chellappa R, et al. Soft-NMS:improving object detection with one line of code[C]//2017 IEEE International Conference on Computer Vision (ICCV). Venice:IEEE Press, 2017:5561-5569.
[14] Ding J, Chen B, Liu H, et al. Convolutional neural network with data augmentation for SAR target recognition[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(3):364-368.
[15] Pan S J, Yang Q. A survey on transfer learning[J]. IEEE Transactions on Knowledge and Data Engineering, 2010, 22(10):1345-1359.
[16] Lin T Y, Maire M, Belongie S, et al. Microsoft COCO:common objects in context[M]//Computer Vision-ECCV 2014. Zurich:Springer International Publishing, 2014:740-755.
[17] Kingma D P, Ba J. Adam:a method for stochastic optimization[C]//International Conference for Learning Representations. California:arXiv preprint, 2014:1412, 6980. |