1 |
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpath, A. Khosla, M. Bernstein, A. C. Berg, L. Fei-Fei, "ImageNet large scale visual recognition challenge", International Journal of Computer Vision, vol. 115, no. 3, pp. 211-252, 2015. DOI: https://doi.org/10.1007/s11263-015-0816-y
DOI
|
2 |
R. Girshick, J. Donahue, T. Darrell, J. Malik, "Rich feature hierarchies for accurate object detection and semantic segmentation", Proc. of the IEEE conference on computer vision and pattern recognition, Columbus, Ohio, pp. 580-587, 2014.
|
3 |
R. Girshick, "Fast r-cnn", Proc. of The IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, pp. 1440-1448, 2015.
|
4 |
K. He, G. Gkioxari, P. Dollar, R. Girshick, "Mask R-CNN", Proc. of The IEEE International Conference on Computer Vision (ICCV), Venezia, Italy, pp. 2980-2988, 2017.
|
5 |
X. Glorot, Y. Bengio, "Understanding the difficulty of training deep feedforward neural networks", Proc. of the thirteenth international conference on artificial intelligence and statistics, Sardinia, Italy, pp. 249-256, 2010.
|
6 |
J. R. Uijlings, K. E. Van De Sande, T. Gevers, A. W. Smeulders, "Selective Search for Object Recognition", International journal of computer vision, vol. 104, no. 2, pp. 154-171, 2013. DOI: https://doi.org/10.1007/s11263-013-0620-5
DOI
|
7 |
W. Kim, S. Park, R. Lee, J. Seo, "A case study on the application of machine guidance in construction field", Journal of the Korean Society of Civil Engineers, vol. 38, no. 5, pp. 721-731, 2018. DOI: https://doi.org/10.12652/Ksce.2018.38.5.0721
DOI
|
8 |
J. Redmon, S. Divvala, R. Girshick, A. Farhadi, "You only look once: Unified, real-time object detection", Proc. the IEEE conference on computer vision and pattern recognition, pp. 779-788, 2016.
|
9 |
J. Redmon, A. Farhadi, "Yolov3: An incremental improvement", arXiv preprint arXiv:1804.02767, 2018.
|
10 |
Ministry of Land, Infrastructure and Transport. (Oct., 31, 2018). Smart Construction Technology Road Map. Available From: http://www.molit.go.kr/USR/NEWS/m_71/dtl.jsp?id=95081506 (accessed Feb., 8, 2019)
|
11 |
B. Jo, Y. Lee, D. Kim, J. Kim, P. Choi, "Image-based proximity warning system for excavator of construction sites", Journal of the Korea Contents Association, vol. 16, no. 10, pp. 588-597, 2016. DOI: http://dx.doi.org/10.5392/JKCA.2016.16.10.588
DOI
|
12 |
J. Y. Soh, J. Lee, C. H. Han, "Development of Omnidirectional Object Detecting Technology for a safer excavator", Journal of the Korea Institute of Building Construction, vol. 10, no. 4, pp. 105-112, 2010. DOI: https://doi.org/10.5345/JKIC.2010.10.4.105
DOI
|
13 |
J. Seo, S. Han, S. Lee, H. Kim, "Computer vision techniques for construction safety and health monitoring", Advanced Engineering Informatics, vol. 29, pp. 239-251, 2015. DOI: http://dx.doi.org/10.1016/j.aei.2015.02.001
DOI
|
14 |
J. Na, S. Lee, C. Kim, H. Son, C. Kim. "Real-time vision-based proximity detection for improved worker safety in construction equipment operation", Proc. of Architectural institute of Korea, vol. 35, no. 2, pp. 31-32, 2015.
|
15 |
S. Han, S. Lee, "A vision-based motion capture and recognition framework for behavior-based safety management", Automation in Construction, vol. 35, pp. 131-141, 2013. DOI: http://dx.doi.org/10.1016/j.autcon.2013.05.001
DOI
|
16 |
H. Kim, H. Kim, Y. W. Hong, H. Byun, "Detecting construction equipment using a region-based fully convolutional network and transfer learning", Journal of computing in Civil Engineering, vol. 32. no. 2, 04017082, 2018. DOI: https://doi.org/10.1061/(ASCE)CP.1943-5487.0000731
DOI
|
17 |
S. Ren, K. He, R. Girshick, J. Sun, "Faster R-CNN: towards real-time object detection with region proposal networks", Proc. of Advances in Neural Information Processing Systems 28 (NIPS 2015), Montreal, Canada, pp. 91-99, 2015.
|