참고문헌 (13)

1. Blasco, J, Aleixos, N, Moltó, E. Machine Vision System for Automatic Quality Grading of Fruit. Biosystems engineering, vol.85, no.4, 415-423.

   상세보기

2. Kim, Hack-Yoon, Yoon, Jong-Min. Defect Detection Algorithm of the Mandarin Using Shape Based Lightness Correction Model. 韓國情報技術學會論文誌 = Journal of Korean institute of information technology, vol.14, no.4, 195-.

   상세보기

3. A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks", Advances in neural information processing systems, Vol. 25, No. 2, pp. 1097-1105, Jan. 2012. 

4. HaoBiao, Kang, Dae-Seong. The Research of Face Expression Recognition based on CNN using Tensorflow. Journal of advanced information technology and convergence, vol.7, no.1, 55-64.

   상세보기

5. 10.1109/CVPR.2015.7298594 

   

6. 10.1109/CVPR.2016.90 K. He, X. Zhang, S. Ren, and J. Sun, "Deep Residual Learning for Image Recognition", Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, Las Vegas, USA, pp. 770-778, Jun. 2016. 

   

7. 10.1007/978-3-319-46493-0_38 

   

8. 10.1109/ICCSCE.2017.8284412 

   

9. 10.1109/ICAICTA.2017.8090980 

   

10. F. N. Iandola et al., "SqueezeNet: AlexNet-Level Accuracy with 50x Fewer Parameters and < 0.5MB model size", arXiv:1602.07360v4, Nov. 2016. 

11. 10.1109/CVPR.2018.00716 

    

12. Kim, Byung Joo. Improved Deep Learning Algorithm. Journal of advanced information technology and convergence, vol.8, no.2, 119-127.

    상세보기

13. Andrew G. Howard, "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications", arXiv:1704.04861, Cornell University Library, Apr. 2017.