Open Access
Issue
JNWPU
Volume 38, Number 6, December 2020
Page(s) 1154 - 1162
DOI https://doi.org/10.1051/jnwpu/20203861154
Published online 02 February 2021
  1. Qiu Xiaokang. Development and Application of Deep Learning[J]. Science and Technology, 2016, 26(33): 93-95 (in Chinese) [Google Scholar]
  2. Long J, Shelhamer E, Darrell T. Fully Convolutional Networks for Semantic Segmentation[J]. IEEE Trans on Pattern Analysis & Machine Intelligence, 2014, 39(4): 640-651 [Google Scholar]
  3. Ronneberger O, Fischer P, Brox T. U-Net: Convolutional Networks for Biomedical Image Segmentation[C]//Medical Image Compating and Compater Assited Intervention, 2015 [Google Scholar]
  4. Yu F, Koltun V. Multi-Scale Context Aggregation by Dilated Convolutions[C]//International Conference on Learning Representations, 2016 [Google Scholar]
  5. Sutton C. An Introduction to Conditional Random Fields[J]. Foundations and Trends in Machine Learning, 2012, 4(4): 267-373 [CrossRef] [Google Scholar]
  6. Li Ping, Fang Xibo, Huang Zhili. Aim Point Selecting Algorithm for Endgame Based on Infrared Imaging Guidance[J]. Infrared and Laser Engineering, 2013, 42(5): 1131-1136 (in Chinese) [Google Scholar]
  7. Li Cheng, Li Jianxun, Tong Zhongxiang. Research on Partial Image Recognition and Tracking in Infrared Imaging Terminal Guidance[J]. Acta Armamentarii, 2015, 36(7): 1213-1221 (in Chinese) [Google Scholar]
  8. Hu Leili, Zhang Junchang, Zhang Liangzhong. Real-Time Infrared Target Detection Method Based on Human Vision System[J]. Journal of Northwestern Polytechnical University, 2017, 35(5): 910-914 (in Chinese) [Google Scholar]
  9. Yu Ruixing, Wu Yulin, Cao Meng, et al. Target Extraction and Image Matching Algorithm Based on Combination of Edge and Corner[J]. Journal of Northwestern Polytechnical University, 2017, 35(4): 586-590 (in Chinese) [Google Scholar]
  10. Ren S, He K, Girshick R, et al. Faster R-CNN:Towards Real-Time Object Detection with Region Proposal Networks[J]. IEEE Trans Pattern Anal Mach Intell, 2017, 39(6): 1137-1149 [CrossRef] [Google Scholar]
  11. Lin T Y, Dollar P, Girshick R, et al. Feature Pyramid Networks for Object Detection[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017: 2117-2125 [Google Scholar]
  12. Lin G, Milan A, Shen C. RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017 [Google Scholar]
  13. He K, Gkioxari G, Dollar P, et al. Mask R-CNN[C]//Proceddings of the IEEE Internaltional Conference on Computer Vision, 2017: 2961-2969 [Google Scholar]
  14. He K, Zhang X, Ren S, et al. Deep Residual Learning for Image Recognition[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016: 770-778 [Google Scholar]

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