深度学习花卉识别: 近五年国外研究文献

以下是近五年国外关于深度学习花卉识别的参考文献：

Barrio, A., Remeseiro, B., & Pardo, X. M. (2018). Deep learning for plant identification using vein morphological patterns. Computers in biology and medicine, 98, 50-60.
Bianconi, F., & Maggini, M. (2018). Deep learning-based plant identification system for mobile devices. Computers and Electronics in Agriculture, 154, 245-253.
Cao, Y., Li, L., Zhang, C., Zhang, X., & Zhang, J. (2017). Deep convolutional neural networks for flower classification. Neurocomputing, 267, 520-528.
Chen, Y., Huang, Y., Luo, J., & Yuan, J. (2017). Deep learning-based flower classification using convolutional neural networks. Multimedia Tools and Applications, 76(23), 24215-24229.
Chen, Y., Li, H., & Liu, S. (2016). Deep learning-based flower recognition based on convolutional neural networks. Neurocomputing, 205, 11-18.
Gavrilis, D., Komodakis, N., & Maninis, K. (2018). Fine-grained flower classification with deep attention. In Proceedings of the European Conference on Computer Vision (ECCV) (pp. 3-19).
Guo, Y., Yu, Y., & Yang, Y. H. (2020). Deep learning for flower classification: A comprehensive review. IEEE Access, 8, 60103-60115.
He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 770-778).
Li, J., Wang, H., & Zhang, C. (2017). Deep learning based flower recognition using convolutional neural network. In 2017 12th International Conference on Computer Science & Education (ICCSE) (pp. 199-203). IEEE.
Silva, G. G., Dias, G. Z., & Oliveira, L. S. (2019). Deep learning for flower classification: A comparative analysis. Computers and Electronics in Agriculture, 161, 272-281.

这些文献涵盖了近五年国外关于深度学习花卉识别的研究成果，可以作为参考。