Open Access
Issue |
E3S Web Conf.
Volume 279, 2021
III International Conference “Energy Efficiency and Energy Saving in Technical Systems” (EEESTS-2021)
|
|
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Article Number | 01017 | |
Number of page(s) | 6 | |
Section | Modern Energy Efficient Automation Technology | |
DOI | https://doi.org/10.1051/e3sconf/202127901017 | |
Published online | 01 July 2021 |
- P. S. Obukhov, E. A. Ivliev, V. A. Ivliev, Identification of alphanumeric information from baggage tag based on neural network a baggage, Proceedings of the Dynamics of Technical Systems, DTS, 12-13 September 2019, Rostov-on-Don, Russia (2019) [Google Scholar]
- E. A. Ivliev, P. S. Obukhov IOP Conf. Ser.: Mater. Sci. Eng. 1029, 012085 (2021) [Google Scholar]
- S. Ren, K. He, R. Girshick, J. Sun, Neural Information Processing Systems, 39, 1137-1149 (2015). [Google Scholar]
- J. Dai, Y. Li, K. He, J. Sun, R-fcn: Object detection via region-based fully convolutional networks. Neural Information Processing Systems, 1, 379–387, (2016). [Google Scholar]
- W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.Y. Fu, A.C. Berg, SSD: Single shot multibox detector. In European Conference on Computer Vision, Proceedings of the European Conference on Computer Vision (ECCV) 1, 21–37, Springer, (2016). [Google Scholar]
- K. He, X. Zhang, S. Ren, J. Sun, Deep residual learning for image recognition. Proceedings of the IEEE conference on computer vision and pattern recognition, 1, 770–778, (2016). [Google Scholar]
- S. Ioffe, C. Szegedy. Batch normalization: Accelerating deep network training by reducing internal covariate shift. Proceedings of Machine Learning Research, 37, 448–456, (2015). [Google Scholar]
- C. Szegedy, S. Ioffe, V. Vanhoucke, A. A. Alemi, Inception-v4, inception-resnet and the impact of residual connections on learning, AAAI Conference on Artificial Intelligence, cite arXiv:1602.07261 (2017) [Google Scholar]
- A. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, H. Adam, Mobilenets: Efficient convolutional neural networks for mobile vision applications, cite arXiv:1704.04861, (2017) [Google Scholar]
- J. Huang, V. Rathod, C. Sun, M. Zhu, A. Korattikara, A. Fathi, I. Fischer, Z. Wojna, Y. Song, S. Guadarrama, Speed/accuracy trade-offs for modern convolutional object detectors, , Proceedings of the 30th IEEE Conference on Computer Vision and Pattern Recognition, cite arXiv:1611.10012v3 (2017) [Google Scholar]
- E. A. Ivliev, P. S. Obukhov, Assessment of deep neural networks for localization system of baggage tags at airport, European journal of natural history, 1, (2021). [Google Scholar]
- Lin, T.Y. Microsoft COCO: Common objects in context, In ECCV, (2014). DOI:10.1007/978-3-319-10602-1_48 [Google Scholar]
- D. H. Ballard, Generalizing the Hough transform to detect arbitrary shapes, Pattern recognition, 13(2), 111-122, (1981) [Google Scholar]
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