Конференції Національного Авіаційного Університету, AVIATION IN THE XXI-st CENTURY 2022

Розмір шрифту: 
Application of deep learning hybrid convolutional neural networks in visual navigation systems
Ілля Олександрович Бориндо

Остання редакція: 2022-09-25

Ключові файли


convolutional neural network, visual navigation, machine learning, image classification, surface recognition

Посилання


[1]      Iveta Mrazova, Marek Kukacka. "Hybrid convolutional neural networks" IEEE International Conference on Industrial Informatics 10.1109/INDIN.2008.4618146.

[2]      Chaitanya Nagpal and Shiv Ram Dubey. “A Performance Evaluation of Convolutional Neural Networks for Face Anti Spoofing”.

[3]      Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell, “Caffe: Convolutional architecture for fast feature embedding,” in Proceedings of the 22nd ACM international conference on Multimedia. ACM, 2014, pp. 675–678.

[4]      K. Simonyan and A. Zisserman, “Very deep convolutional networks for large-scale image recognition,” 2014.

[5]      J. Long, E. Shelhamer, and T. Darrell, “Fully convolutional networks for semantic segmentation,” in Proceedings of the IEEE conference on computer vision and pattern recognition, 2015, pp. 3431–3440..

[6]      Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu. “Squeeze-and-Excitation Networks”.