Acknowledgement
본 연구는 서울시 산학연 협력사업(20191471)의 지원을 받아 수행된 연구임.
References
- Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V. and Rabinovich, A., 2015. "Going deeper with convolutions." In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1-9.
- Redmon, J., Divvala, S., Girshick, R. and Farhadi, A., 2016. "You only look once: Unified, real-time object detection." In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 779-788.
- Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C.Y. and Berg, A.C., 2016, October. "Ssd: Single shot multibox detector." In European conference on computer vision, pp. 21-37. Springer, Cham.
- Girshick, R., Donahue, J., Darrell, T. and Malik, J., 2014. "Rich feature hierarchies for accurate object detection and semantic segmentation." In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 580-587.
- Yu, E.S., Cha, J.M., Lee, T., Kim, J. and Mun, D., 2019. "Features Recognition from Piping and Instrumentation Diagrams in Image Format Using a Deep Learning Network". Energies, 12(23), p.4425. https://doi.org/10.3390/en12234425
- Krizhevsky, A., Sutskever, I. and Hinton, G.E., 2012. "Imagenet classification with deep convolutional neural networks." In Advances in neural information processing systems, pp. 1097-1105.
- Redmon, J. and Farhadi, A., 2017. "YOLO9000: better, faster, stronger." In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 7263-7271.
- Kang, S.O., Lee, E.B. and Baek, H.K., 2019. "A Digitization and Conversion Tool for Imaged Drawings to Intelligent Piping and Instrumentation Diagrams (P&ID)". Energies, 12(13), p.2593. https://doi.org/10.3390/en12132593