Acknowledgement
본 연구는 과학기술정보통신부 한국건설기술연구원 연구운영비지원(주요사업)사업으로 수행되었습니다(20240143-001, 미래 건설산업견인 및 신시장 창출을 위한 스마트 건설기술 연구).
References
- Girshick, R., 2015, Fast r-cnn. In Proceedings of the IEEE International Conference on Computer Vision, 1440-1448.
- He, K., Gkioxari, G., Dollar, P., and Girshick, R., 2017, Mask r-cnn. In Proceedings of the IEEE International Conference on Computer Vision, 2961-2969.
- Lempitsky, V., Kohli, P., Rother, C., and Sharp, T., 2009, Image segmentation with a bounding box prior, In 2009 IEEE 12th International Conference on Computer Vision, 277-284. IEEE.
- Lin, T.Y., Dollar, P., Girshick, R., He, K., Hariharan, B., and Belongie, S., 2017, Feature pyramid networks for object detection, In Proceedings of the IEEE Conference on Computer Vision And Pattern Recognition, 2117-2125.
- Minaee, S., Boykov, Y., Porikli, F., Plaza, A., Kehtarnavaz, N., and Terzopoulos, D., 2021, Image segmentation using deep learning: A survey, IEEE Transactions on Pattern Analysis And Machine Intelligence, 44(7), 3523-3542. https://doi.org/10.1109/TPAMI.2021.3059968
- Ministry of Government Legislation (MGL), 2023, Construction machinery management act (in Korean).
- Na, J.H., Shin, H.S., Lee, J.K., and Yun, I.D., 2023, Building-up and Feasibility Study of Image Dataset of Field Construction Equipments for AI Training, Journal of the Korean Society of Civil Engineers, 43(1), 99-107 (in Korean).
- Powers, D.M., 2010, Evaluation: From precision, recall and F-measure to ROC, informedness, markedness and correlation, arXiv preprint, arXiv:2010.16061.
- Redmon, J., and Farhadi, A., 2017, YOLO9000: better, faster, stronger. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 7263-7271.
- Zhao, Z.Q., Zheng, P., Xu, S.T., and Wu, X., 2019, Object detection with deep learning: A review, IEEE Transactions on Neural Networks and Learning Systems, 30(11), 3212-3232. https://doi.org/10.1109/TNNLS.2018.2876865
- Zhong, Y., Wang, J., Peng, J., and Zhang, L., 2020, Anchor box optimization for object detection, In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 1286-1294.