Laser Journal, Volume. 45, Issue 1, 99(2024)

Design of lightweight pupil segmentation algorithm based onimproved Mobile-UNet

HU Qiaowei1... TAN Hong2, LIU Xinjuan1, HU Nan1 and FANG Erxi1,* |Show fewer author(s)
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  • 2[in Chinese]
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    References(18)

    [1] [1] Silbert D I, Matta N S. Performance of the Spot vision screener for the detection of amblyopia risk factors in children[J]. Journal of American Association for Pediatric Ophthalmology and Strabismus, 2014, 18(2): 169-172.

    [2] [2] Howland H C,Howland B J. Photorefraction: A Technique for the study of refractive state at a distance[J]. Opt. Soc.Am, 1974, 64(6): 240-249.

    [3] [3] Kaakinen K,Tommila V. A Clinical study on the detection of strabismus, anisometropia or ametropia of children by simultaneous photography of the corneal and the fundus reflexes[J]. Acta Ophthalmologica, 1979, 57(4): 600 -611.

    [6] [6] Ruxandra, Vranceanu, Corneliu, et al. Gaze direction estimation by component separation for recognition of Eye Accessing Cues[J]. Machine Vision & Applications, 2015,26(2-3): 267-278.

    [8] [8] Loy, G, Zelinsky, et al. Fast radial symmetry for detecting points of interest[J]. Pattern Analysis and Machine Intelligence,IEEE Transactions on, 2003, 25(8): 959-973.

    [10] [10] Lecun Y, Bottou L, Bengio Y, Haffner P. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 1998, 86(11): 2278-2324.

    [11] [11] Ronneberger O, Fischer P, Brox T, et al. U-Net: convolutional networks for biomedical image segmentation[C] / /International Conference on Medical Image Computing &Computer - Assisted Intervention. Springer International Publishing, 2015: 234-241.

    [12] [12] Lee Y, Lee S, Jang S, et al. Pupil Detection and Segmentation for Diagnosis of Nystagmus with U-Net[C] / / International Conference on Electronics, Information, and Communication,2022: 1-2.

    [14] [14] Sandler M, Howard A, Zhu M, et al. Mobilenetv2: Inverted residuals and linear bottleneck[C] / / Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2018: 4510-4520.

    [15] [15] Ma N, Zhang X, Zheng H T, et al. Shufflenet v2: Practical guidelines for efficient cnn architecture design[C]//Proceedings of the European Conference on Computer Vision(ECCV), 2018: 116-131.

    [16] [16] Yang Rui, Lu Xiangyu, Huang Jing, et al. A Multi-Source Data Fusion Decision-Making Method for Disease and Pest Detection of Grape Foliage Based on ShuffleNet V2[J].Remote Sensing, 2021, 13(24): 5102.

    [17] [17] Howard A G, Zhu M, Chen B, et al. Mobilenets: efficient convolutional neural networks for mobile vision applications[J]. arXiv preprint arXiv: 1704. 04861, 2017.

    [18] [18] Zhang X, Zhou X, Lin M, et al. Shufflenet: an extremely efficient convolutional neural network for mobile devices[C] / / Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018: 6848-6856.

    [19] [19] Howard A, Sandler M, Chu G, et al. Searching for mobilenetv3[C] / / Proceedings of the IEEE/ CVF International Conference on Computer Vision ( ICCV). Seoul: IEEE,2019.

    [20] [20] Yang Hong, Zhang Yashen, Yin Canbin, et al. Ultra -lightweight CNN design based on neural architecture search and knowledge distillation: A novel method to build the automatic recognition model of space target ISAR images[J].Defence Technology, 2022, 18(06): 1073-1095.

    [21] [21] Hu J, Shen L, Sun G. Squeeze-and-excitation networks[C] / / Proceedings of the IEEE conference on computer vision and pattern recognition. 2018: 7132-7141.

    [23] [23] Wang Q, Wu B, Zhu P, et al. ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks[C] / / IEEE/ CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020:11531-11539.

    [24] [24] Chen Liujie, Yao Haodong, Fu Jiyang, et al. The classification and localization of crack using lightweight convolutional neural network with CBAM[J]. Engineering Structures,2023,275:78-85.

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    HU Qiaowei, TAN Hong, LIU Xinjuan, HU Nan, FANG Erxi. Design of lightweight pupil segmentation algorithm based onimproved Mobile-UNet[J]. Laser Journal, 2024, 45(1): 99

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    Paper Information

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    Received: Jul. 22, 2023

    Accepted: --

    Published Online: Aug. 6, 2024

    The Author Email: Erxi FANG (fangerxi@suda.edu.cn)

    DOI:10.14016/j.cnki.jgzz.2024.1.099

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