참고문헌 (26)

1. Dong-a science. Finally, a pandemic declaration... What is a pandemic? [internet]. Available: https://www.dongascience.com/news.php?idx=35044. 

2. Central Disaster Management Headquarters. Overvie of Social Distancing System. [internet]. Available: http://ncov.mohw.go.kr/socdisBoardView.do?brdId=6&brdGubun=1. 

3. Ewha Voice. A party in the COVID-19 pandemic? Generation Z’s untact meeting. [internet]. Available: https://inews.ewha.ac.kr/news/articleView.html?idxno=32451. 

4. 10.1109/CVPR.2016.91 

   

5. Martin, D.R., Fowlkes, C.C., Malik, J.. Learning to detect natural image boundaries using local brightness, color, and texture cues. IEEE transactions on pattern analysis and machine intelligence, vol.26, no.5, 530-549.

   상세보기

6. 10.1109/CVPR.2019.00906 

   

7. I. Goodfellow, et al., "Generative adversarial nets", In Proceedings of the 27th International Conference on Neural Information Processing Systems, USA, pp. 2672-2680, Dec 2014. 

8. 10.1109/ICCV.2017.244 J. Y. Zhu, T. Park, P. Isola and A. A. Efros, "Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks", In Proceedings of the IEEE international conference on computer vision, Venice, pp. 2223-2232, Oct 2017. 

   

9. Dong-a science. If global warming continues, 90% of the world will be at risk of a ‘tropical epidemic’ by 2080. [internet]. Available: https://m.segye.com/view/20210712513919. 

10. Hong, So Hee, Kim, Min. A Study on Communication Methods According to the Characteristics of MZ Generation. 조형미디어학= The treatise on the plastic media, vol.24, no.1, 113-120.

    상세보기

11. H. W. Kim and S. J. Lee, “The future of the financial industry led by generation MZ”, WFRI, pp. 1-12, 2021. 

12. The Korea Times. The culture of photography in 2030 photos. [internet]. Available: https://www.hankookilbo.com/News/Read/201502041794920278. 

13. Busan best economy. 84 percent of teens “raenseon meeting activities.” [internet]. Available: https://www.busaneconomy.com/news/articleView.html?idxno=250937. 

14. Kim, Keungoui, Lee, Junmin, Lee, Changjun. Exploratory Analysis of Knowledge Structure and Evolutionary Trajectory in Korean Artificial Intelligence for Effective Technology Policy. 한국혁신학회지 = Innovation studies, vol.16, no.3, 139-172.

    상세보기

15. Y. C. Choi, Computer Science in the ICT Convergence Age, Saengneung Publishing, pp. 472, 2017. 

16. 10.1109/CVPR42600.2020.01079 

    

17. Girshick, Ross, Donahue, Jeff, Darrell, Trevor, Malik, Jitendra. Region-Based Convolutional Networks for Accurate Object Detection and Segmentation. IEEE transactions on pattern analysis and machine intelligence, vol.38, no.1, 142-158.

    상세보기

18. D. H. Kim, S. H. Park and Y. G. Seo, “Automatic Arm Region Segmentation and Background Image Composition”, The Journal of Digital Contents Society, Vol. 18, No. 8, pp. 1509-1516, Dec 2017. 

19. J. C. Yoon, “ Real-time Video Matting for Mobile Device”, The Journal of Korea Institute of Information, Electronics, and Communication Technology, Vol. 11, No. 5, pp. 487-492, Oct 2018. 

20. D. S. Lee, O. K. Ha and Y. K. Jun, “A Survey on Improving Realism for Image Composition”, Proceedings of the Korean Society of Computer Information Conference, Vol. 25, No. 1, pp. 37-38, Jan 2017. 

21. Github. Gleen jocher yolov5 [internet]. Available: https://github.com/ultralytics/yolov5. 

22. Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollar, P., Zitnick, C.L.. Microsoft COCO: Common Objects in Context. Lecture notes in computer science, vol.8693, 740-755.

    상세보기

23. 10.1109/CVPR.2009.5206848 

    

24. Github. PixelLib [internet]. Available : https://github.com/ayoolaolafenwa/PixelLib. 

25. 10.1109/CVPR.2018.00986 

    

26. Lee, Ji-Hyeon, Kim, Han-Ku. The Influence of Z Generation and Millennial Generation Consumer’s Curiosity and The Need to Belong on Retro Product Preference: Focusing on Mediating Effect of Self-Expansion. 소비자학연구 = Journal of Consumer Studies, vol.32, no.3, 95-121.

    상세보기