• Laser & Optoelectronics Progress
  • Vol. 57, Issue 14, 141003 (2020)
Chengyue Li1、2, Jianmin Yao1、2、3、*, Zhixian Lin1、2, Qun Yan1、2, and Baoqing Fan1、2
Author Affiliations
  • 1Flat Panel Display National and Local Joint Engineering Laboratory, National University Science Park Sunshine Technology Building, Fuzhou University, Fuzhou, Fujian 350116, China
  • 2College of Physics and Information Engineering, Fuzhou University, Fuzhou, Fujian 350116, China
  • 3Jinjiang Bosen Electronic Technology Co., Ltd., Quanzhou, Fujian 362200, China
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    DOI: 10.3788/LOP57.141003 Cite this Article Set citation alerts
    Chengyue Li, Jianmin Yao, Zhixian Lin, Qun Yan, Baoqing Fan. Object Detection Method Based on Improved YOLO Lightweight Network[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141003 Copy Citation Text show less
    References

    [1] LeCun Y, Bottou L, Bengio Y et al. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 86, 2278-2324(1998).

    [2] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 60, 84-90(2017).

    [3] He K M, Zhang X Y, Ren S Q 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. IEEE, 770-778(2016).

    [4] Huang G. 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. IEEE, 4700-4708(2017).

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

    [6] 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).

    [7] 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. IEEE, 779-788(2016).

    [8] 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. IEEE, 6517-6525(2017).

    [9] Redmon J. -04-08)[2019-09-19][EB/OL]. Farhadi A. YOLOv3: an Incremental Improvement., org/abs/1804, 02767(2018). https://arxiv.

    [10] Guo J X, Liu L B, Xu F et al. Airport scene aircraft detection method based on YOLO v3[J]. Laser & Optoelectronics Progress, 56, 191003(2019).

    [11] Cui J H, Zhang Y Z, Wang Z et al. Light-weight object detection networks for embedded platform[J]. Acta Optica Sinica, 39, 0415006(2019).

    [12] He K M, Zhang X Y, Ren S Q et al. Spatial pyramid pooling in deep convolutional networks for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 1904-1916(2015). http://www.sciencedirect.com/science/article/pii/S0031320315004252

    [13] Shelhamer E, Long J, Darrell T. Fully convolutional networks for semantic segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 640-651(2017).

    [14] Lin T Y, Dollar P, Girshick R et al. Feature pyramid networks for object detection. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017. Honolulu, HI. IEEE, 2117-2125(2017).

    [15] Ioffe S, Szegedy C . Batch normalization: accelerating deep network training by reducing internal covariate shift[J]. The 32nd International Conference on Machine Learning, 448-456(2015).

    [16] Zhang R, Li W P, Mo T. Review of deep learning[J]. Information and Control, 47, 385-397, 410(2018).

    [17] Ju M R, Luo H B, Wang Z B et al. Improved YOLO V3 algorithm and its application in small target detection[J]. Acta Optica Sinica, 39, 0715004(2019).

    [18] 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).

    [19] Cui J H, Zhang Y Z, Wang Z et al. Light-weight object detection networks for embedded platform[J]. Acta Optica Sinica, 39, 0415006(2019).

    Chengyue Li, Jianmin Yao, Zhixian Lin, Qun Yan, Baoqing Fan. Object Detection Method Based on Improved YOLO Lightweight Network[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141003
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