基于改进的特征提取网络的目标检测算法 下载: 962次
乔婷, 苏寒松, 刘高华, 王萌. 基于改进的特征提取网络的目标检测算法[J]. 激光与光电子学进展, 2019, 56(23): 231008.
Ting Qiao, Hansong Su, Gaohua Liu, Meng Wang. Object Detection Algorithm Based on Improved Feature Extraction Network[J]. Laser & Optoelectronics Progress, 2019, 56(23): 231008.
[1] 何志超, 赵龙章, 陈闯. 用于人脸表情识别的多分辨率特征融合卷积神经网络[J]. 激光与光电子学进展, 2018, 55(7): 071503.
[2] 陈洋, 范荣双, 王竞雪, 等. 基于深度学习的资源三号卫星遥感影像云检测方法[J]. 光学学报, 2018, 38(1): 0128005.
[3] GirshickR, DonahueJ, DarrellT, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 2014: 580- 587.
[4] GirshickR. Fast R-CNN[C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 2015: 1440- 1448.
[5] 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.
[6] RedmonJ, DivvalaS, GirshickR, 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, 2016: 779- 788.
[7] LiuW, AnguelovD, ErhanD, 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, 2016, 9905: 21- 37.
[8] 陈立里, 张正道, 彭力. 基于改进SSD的实时检测方法[J]. 激光与光电子学进展, 2019, 56(1): 011002.
[9] Dai JF, LiY, He KM, et al. R-FCN: object detection via region-based fully convolutional networks[C]∥Proceedings of the 30th International Conference on Neural Information Processing Systems, December 5-10, 2016, Barcelona, Spain. New York: ACM, 2016: 379- 387.
[10] 蔡玉柱, 杨德东, 毛宁, 等. 基于自适应卷积特征的目标跟踪算法[J]. 光学学报, 2017, 37(3): 0315002.
[11] KrizhevskyA, SutskeverI, Hinton GE. ImageNet classification with deep convolutional neural networks[C]∥Proceedings of the 25th International Conference on Neural Information Processing Systems, December 3-6, 2012, Lake Tahoe, Nevada. New York: ACM, 2012: 1097- 1105.
[12] HuangG, Liu Z, van der Maaten L, et al. Densely connected convolutional networks[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 2017: 2261- 2269.
[13] He KM, Zhang XY, Ren SQ, et al. Deep residual learning for image recognition[C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 2016: 770- 778.
[14] NeubeckA, van GoolL. Efficient non-maximum suppression[C]∥18th International Conference on Pattern Recognition (ICPR'06), August 20-24, 2006, Hong Kong, China. New York: IEEE, 2006: 9210072.
乔婷, 苏寒松, 刘高华, 王萌. 基于改进的特征提取网络的目标检测算法[J]. 激光与光电子学进展, 2019, 56(23): 231008. Ting Qiao, Hansong Su, Gaohua Liu, Meng Wang. Object Detection Algorithm Based on Improved Feature Extraction Network[J]. Laser & Optoelectronics Progress, 2019, 56(23): 231008.