1 |
Tao, G., Bin, L., Qi, C., Nenghai, Y., "Using multi-label classification to improve object detection," Neurocomputing, Vol. 370, pp. 174-185, 2019.
DOI
|
2 |
Yan, Zhennan et al., "Body part Recognition Using Multi-stage Deep Learning," Information processing in medical imaging", Vol. 24, pp. 449-461, 2015.
|
3 |
Xuerui, D., "HybridNet: A fast vehicle detection system for autonomous driving," Signal Processing: Image Communication Vol. 70 pp. 79-88, 2019.
DOI
|
4 |
Son, H., Kim, C., "Integrated worker detection and tracking for the safe operation of construction machinery," Automation in Construction, https://doi.org/10.1016/j.autcon. 2021. 103670.
DOI
|
5 |
Jia, T., Zhang. et al., "Benign and malignant lung nodule classification based on deep learning feature," Journal of Medical Imaging and Health Informatics, Vol. 5, No. 8, pp. 1936-1940, 2015.
DOI
|
6 |
Mousavian, A., Anguelov D., Flynn, J., Kosecka, J., "3D bounding box estimation using deep learning and geometry," 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5632-5640, 2017.
|
7 |
Lee, O. S., Mun, T. U., Lee, D.,"Safety equipment wearing detection using YOLO based on deep learning," 2019 IEIE Fall Conference, pp. 829-830, 2019.
|
8 |
Kim, D., Meiyin, L., Lee, S. H., Vineet, R. K., Remote proximity monitoring between mobile construction resources using camera-mounted UAVs, Automation in Construction, Vol.99, pp. 168-182, March 2019.
DOI
|
9 |
Changxi, Y., Jianbo, L., Dimitar, F., Panagiotis, T., "Advanced planning for autonomous vehicles using reinforcement learning and deep inverse reinforcement learning," Robotics and Autonomous Systems, Vol. 114, pp. 1-18. 2019.
DOI
|
10 |
Victor, P., Leon, N., Phil, S., Yiannis, A., "Automated vision-based system for monitoring Asian citrus psyllid inorchards utilizing artificial intelligence," Computers and Electronics in Agriculture Vol. 162, pp. 328-336, 2019.
DOI
|
11 |
Shubham, S., Ashwin, K., Vikram, G., "YOLO based Human Action Recognition and Localization," Procedia Computer Science, Vol. 133, pp. 831-838, 2018.
DOI
|
12 |
Xin, F., Youni, J., Xuejiao, Y., Ming, D., Xin, L., "Computer vision algorithms and hardware implementations: A survey," Integration, the VLSI Journal, Vol. 69, pp. 309-320, 2019.
DOI
|