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Face Recognition System Based on Capsule Networks

 und    | 28. März 2024

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W. L. He M.L. Zhu. Current status and future analysis of capsule neural network research [J] Computer Engineering and Application, 2021, 57(03):33–43. He W. L. Zhu M.L. . Current status and future analysis of capsule neural network research [J] Computer Engineering and Application , 2021 , 57 ( 03 ): 33 43 . Search in Google Scholar

Yang Jucheng Han Shujie Mao Lei et al. A review of capsule network modeling [J] Journal of Shandong University (Engineering Edition), 2019, 49(06):1–10. Jucheng Yang Shujie Han Lei Mao A review of capsule network modeling [J] Journal of Shandong University (Engineering Edition) , 2019 , 49 ( 06 ): 1 10 . Search in Google Scholar

Zheng Yuanpan Li Guangyang Li Ye. A research review of deep learning in image recognition [J]. Computer Engineering and Applications, 2019, 55(12):20–36. Yuanpan Zheng Guangyang Li Ye Li . A research review of deep learning in image recognition [J] . Computer Engineering and Applications , 2019 , 55 ( 12 ): 20 36 . Search in Google Scholar

YANG Xiaofeng ZHANG Laifu WANG Zhipeng et al. Cross-domain pedestrian re-identification based on capsule networks [J] Computer Engineering and Science, 2021, 43(09):1591–1599. Xiaofeng Yang Laifu Zhang Zhipeng Wang Cross-domain pedestrian re-identification based on capsule networks [J] Computer Engineering and Science , 2021 , 43 ( 09 ): 1591 1599 . Search in Google Scholar

JIANG Hong JIA Shuaiyu YAO Hongge. Capsule network for object recognition in complex realistic scenes [J] Journal of Xi’an University of Technology 2019 39(06):712719.DOI:10.16185/j.jxatu.edu.cn.2019. 06.014. Hong Jiang Shuaiyu Jia Hongge Yao . Capsule network for object recognition in complex realistic scenes [J] Journal of Xi’an University of Technology 2019 39 ( 06 ): 712 719 .DOI: 10.16185/j.jxatu.edu.cn.2019.06.014 . Open DOISearch in Google Scholar

Liu Linsong Tong Minglei Wu Dongliang. SA-CapsNefSelf-attentive capsule networklJl. Computer Application Research 2021 38(10):3005-3008+3039. DOI:10.19734/j.issn.10013695.2021.03.0092. Linsong Liu Minglei Tong Dongliang Wu . SA-CapsNefSelf-attentive capsule networklJl . Computer Application Research 2021 38 ( 10 ): 3005 3008+3039 . DOI: 10.19734/j.issn.10013695.2021.03.0092 . Open DOISearch in Google Scholar

Qun Zhou. Research on hyperspectral remote sensing image classification based on capsule neural network [D] Northern Nationalities University, 2021. DOI:10.27754/d.cnki.gbfmz.2021.000172. Zhou Qun . Research on hyperspectral remote sensing image classification based on capsule neural network [D] Northern Nationalities University , 2021 . DOI: 10.27754/d.cnki.gbfmz.2021.000172. Open DOISearch in Google Scholar

Yao YQ. Research on facial expression feature extraction and recognition algorithm based on capsule network [D] Beijing Jiaotong University, 2020. DOI: 10.26944/d.cnki.gbfju.2019.000835. Yao YQ. Research on facial expression feature extraction and recognition algorithm based on capsule network [D] Beijing Jiaotong University , 2020 . DOI: 10.26944/d.cnki.gbfju.2019.000835 . Open DOISearch in Google Scholar

Lou Yue. Research on plant recognition method based on improved capsule neural network [D]. Jilin University,2021.DOI:10.27163/d.cnki.gjlnu.2020.0001 42. Yue Lou . Research on plant recognition method based on improved capsule neural network [D] . Jilin University , 2021 .DOI: 10.27163/d.cnki.gjlnu.2020.0001 42 . Open DOISearch in Google Scholar

H.H. Zhang. Research and development of security system based on Caps-Net face recognition [D]. Ximiang University, 2021. DOI:10.27429/d.cnki.gxjdu.2020.00355. Zhang H.H. . Research and development of security system based on Caps-Net face recognition [D] . Ximiang University , 2021 . DOI: 10.27429/d.cnki.gxjdu.2020.00355 . Open DOISearch in Google Scholar

Shan Chen Rencheng Sun Fengjing Shao et al. Research and improvement of dynamic routing based on capsule networks [J] Computer Engineering 2022, 48(05):208–214.DOI:10.19678/j.issn.1003428.0062928. Chen Shan Sun Rencheng Shao Fengjing Research and improvement of dynamic routing based on capsule networks [J] Computer Engineering 2022 , 48 ( 05 ): 208 214 .DOI: 10.19678/j.issn.1003428.0062928 . Open DOISearch in Google Scholar

Sabour, S., Frosst, N., & Hinton, G. E. (2017). Dynamic routing between capsules. In Advances in Neural Information Processing Systems (pp.3856–3866). Sabour S. Frosst N. & Hinton G. E. ( 2017 ). Dynamic routing between capsules . In Advances in Neural Information Processing Systems (pp. 3856 3866 ). Search in Google Scholar

Zhang, Y., Yang, J., & Davis, L. S. (2018). Capsule network performance on complex data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(7), 1552–1566. Zhang Y. Yang J. & Davis L. S. ( 2018 ). Capsule network performance on complex data . IEEE Transactions on Pattern Analysis and Machine Intelligence , 41 ( 7 ), 1552 1566 . Search in Google Scholar

Xiang, S., Wang, Y., Liu, Z., & Gilmore, J. H. (2019). Dynamic capsule attention for visual question answering. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 6255–6264). Xiang S. Wang Y. Liu Z. Gilmore J. H. ( 2019 ). Dynamic capsule attention for visual question answering . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 6255 6264 .. Search in Google Scholar

Tang, H., Yu, N., Wang, R., & Wang, M. (2019). Recurrent capsule network for person re-identification. In Proceedings of the IEEE International Conference on Computer Vision (pp. 7130–7139.. Tang H. Yu N. Wang R. Wang M. ( 2019 ). Recurrent capsule network for person re-identification.In Proceedings of the IEEE International Conference on Computer Vision (pp. 7130 7139 .. Search in Google Scholar

Lecun Y Bottou L et al. Gradient-based learning applied to document recognition[J]. Proceedings of IEEE, 1998, 86(11):2278–2324. Lecun Y Bottou L Gradient-based learning applied to document recognition[J] . Proceedings of IEEE , 1998 , 86 ( 11 ): 2278 2324 . Search in Google Scholar

Krizhevsky A. Sutskever I Hinton G E. Imagenet classification with deep convolutional neural networks [C] // Advances in neural information processing systems. 2012: 1097–1105. Krizhevsky A. Sutskever I Hinton G E. Imagenet classification with deep convolutional neural networks [C] // Advances in neural information processing systems . 2012 : 1097 1105 . Search in Google Scholar

Deng F Pu S Chen X et al. Hyperspectral image classification with capsule network using limited training samples [J]. Sensors, 2018, 18(9):22. Deng F Pu S Chen X Hyperspectral image classification with capsule network using limited training samples [J] . Sensors , 2018 , 18 ( 9 ): 22 . Search in Google Scholar

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