刘春爽. 基于植物叶形状和叶脉的植物叶自动分类研究[D]. 杭州: 浙江理工大学, 2016.
恩德, 忽胜强. 基于集成神经网络的植物叶片识别方法[J]. 浙江农业学报, 2015, 27(12): 2225-2233. doi: 10.3969/j.issn.1004-1524.2015.12.28
于业达, 顾偌铖, 唐运林, 等. 基于深度学习的草地贪夜蛾自动识别[J]. 西南大学学报(自然科学版), 2019, 41(9): 24-31.
LECUN Y, BENGIO Y. Convolutional Networks for Images, Speech, and Time Series[J]. Handbook of Brain Theory & Neural Networks, 1995, 3361(10): 1995.
杨珍, 王俊, 辛春花. 利用DCE-MRI结合改进卷积神经网络的MR图像自动分割与分类方法[J]. 重庆理工大学学报(自然科学), 2020, 34(2): 147-157.
崔少国, 熊舒羽, 刘畅, 等. 基于深度哈希卷积神经网络的医学图像检索[J]. 重庆理工大学学报(自然科学), 2020, 34(8): 134-142.
KRIZHEVSKY A, SUTSKEVER I, HINTON G E. ImageNet Classification with Deep Convolutional Neural Networks[J]. Communications of the ACM, 2017, 60(6): 84-90. doi: 10.1145/3065386
ZEILER M D, FERGUS R. Visualizing and Understanding Convolutional Networks[C] //Computer Vision-ECCV 2014, 2014: 818-833. DOI: 10.1007/978-3-319-10590-1_53.
SIMONYAN K, ZISSERMAN A. Very Deep Convolutional Networks for Large-Scale Image Recognition[EB/OL]. (2014-09-01)[2020-09-15]. https://www.researchgate.net/publication/319770291_Very_Deep_Convolutional_Networks_for_Large-Scale_Image_Recognition.
SZEGEDY C, LIU W, JIA Y Q, et al. Going Deeper with Convolutions[C] //2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). June 7-12, 2015, Boston, MA, USA. IEEE, 2015: 1-9.
HE K, 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, 2016: 770-778.
GRINBLAT G L, UZAL L C, LARESE M G, et al. Deep Learning for Plant Identification Using Vein Morphological Patterns[J]. Computers and Electronics in Agriculture, 2016, 127: 418-424. doi: 10.1016/j.compag.2016.07.003
SLADOJEVIC S, ARSENOVIC M, ANDERLA A, et al. Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification[J]. Computational Intelligence and Neuroscience, 2016, 2016: 3289801.
张帅, 淮永建. 基于分层卷积深度学习系统的植物叶片识别研究[J]. 北京林业大学学报, 2016, 38(9): 108-115.
CRUZ A C, LUVISI A, DE BELLIS L, et al. Vision-Based Plant Disease Detection System Using Transfer and Deep Learning[C] //2017 Spokane, Washington July 16-July 19, 2017. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2017: 1.
BARBEDO J G A. Plant Disease Identification from Individual Lesions and Spots Using Deep Learning[J]. Biosystems Engineering, 2019, 180: 96-107.
SABOUR S, FROSST N, HINTON G E. Dynamic Routing Between Capsules[EB/OL]. (2020-09-22)[2020-10-15]. https://www.cnblogs.com/MTandHJ/p/13659001.html.
ZHANG X Q, ZHAO S G. Fluorescence Microscopy Image Classification of 2D HeLa Cells Based on the CapsNet Neural Network[J]. Medical & Biological Engineering & Computing, 2019, 57(6): 1187-1198. doi: 10.1007/s11517-018-01946-z
MOBINY A, VAN NGUYEN H. Fast CapsNet for Lung Cancer Screening[M] //Medical Image Computing and Computer Assisted Intervention-MICCAI 2018. Cham: Springer International Publishing, 2018: 741-749.
陈立潮, 郑佳敏, 曹建芳, 等. 基于胶囊网络的智能交通标志识别方法[J]. 计算机应用, 2020, 40(4): 1045-1049.