• Laser & Optoelectronics Progress
  • Vol. 57, Issue 6, 061503 (2020)
Zaifeng Shi1、*, Peng Ye1, Cheng Sun1, Tao Luo2, Hanjie Wang3, and Huizhuo Pan3
Author Affiliations
  • 1School of Microelectronics, Tianjin University, Tianjin 300072, China
  • 2College of Intelligence and Computing, Tianjin University, Tianjin 300072, China
  • 3School of Life Sciences, Tianjin University, Tianjin 300072, China
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    DOI: 10.3788/LOP57.061503 Cite this Article Set citation alerts
    Zaifeng Shi, Peng Ye, Cheng Sun, Tao Luo, Hanjie Wang, Huizhuo Pan. Object Detection Algorithm Applied to Optical Genetic Laser Projection System[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061503 Copy Citation Text show less
    References

    [1] Yizhar O, Fenno L E, Davidson T J et al. Optogenetics in neural systems[J]. Neuron, 71, 9-34(2011).

    [2] Boyden E S, Zhang F, Bamberg E et al. Millisecond-timescale, genetically targeted optical control of neural activity[J]. Nature Neuroscience, 8, 1263-1268(2005).

    [3] Zhang F, Gradinaru V, Adamantidis A R et al. Optogenetic interrogation of neural circuits: technology for probing mammalian brain structures[J]. Nature Protocols, 5, 439-456(2010).

    [4] Wang Y, Lin X D, Chen X et al. Tetherless near-infrared control of brain activity in behaving animals using fully implantable upconversion microdevices[J]. Biomaterials, 142, 136-148(2017).

    [5] Long X, Su H S, Liu G H et al. A face recognition algorithm based on angular distance loss function and convolutional neural network[J]. Laser & Optoelectronics Progress, 55, 121505(2018).

    [6] Ou P, Zhang Z, Lu K et al. Object detection in of remote sensing images based on convolutional neural networks[J]. Laser & Optoelectronics Progress, 56, 051002(2019).

    [7] 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).

    [8] 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).

    [9] 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).

    [10] 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).

    [11] Tang X L, Yang W, Hu X S et al. A novel simplified model for torsional vibration analysis of a series-parallel hybrid electric vehicle[J]. Mechanical Systems and Signal Processing, 85, 329-338(2017).

    [12] Redmon J. -04-08)[2018-09-07]. https:∥arxiv., org/abs/1804, 02767(2018).

    [13] Huang G. Liu S C, van der Maaten L, et al. CondenseNet: an efficient DenseNet using learned group convolutions. [C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 2752-2761(2018).

    [14] Zhang X Y, Zhou X Y, Lin M X et al. ShuffleNet: an extremely efficient convolutional neural network for mobile devices. [C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 6848-6856(2018).

    [15] Lin T Y, Goyal P, Girshick R et al. Focal loss for dense object detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1(2018).

    [16] Everingham M, van Gool L, Williams C K I et al. The Pascal visual object classes (VOC) challenge[J]. International Journal of Computer Vision, 88, 303-338(2010).

    Zaifeng Shi, Peng Ye, Cheng Sun, Tao Luo, Hanjie Wang, Huizhuo Pan. Object Detection Algorithm Applied to Optical Genetic Laser Projection System[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061503
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