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NTIS 바로가기韓國軍事科學技術學會誌 = Journal of the KIMST, v.26 no.3, 2023년, pp.234 - 245
이유석 (국방과학연구소 국방시험연구원)
The Arena Fragmentation Test(AFT) is designed to analyze warhead performance by measuring fragmentation data. In order to evaluate the results of the AFT, a set of AFT images are captured by high-speed cameras. To detect objects in the AFT image set, ResNet-50 based Faster R-CNN is used as a detecti...
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H. Lee, J. Kim, C. Jung, Y. Park, W. Park and J. Son, "A Deep Learning-based Fragment Detection Approach for the Arena Fragmentation Test," Applied Sciences, Vol. 10, No. 14, pp. 4744, 2020.?
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B. Lim, S. Son, H. Kim, S. Nah and K. Mu Lee, "Enhanced Deep Residual Networks for Single Image Super-Resolution," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 136-144, 2017.?
Liang J., Cao J., Sun G., Zhang K., Van Gool L. and Timofte R, "Swinir: Image Restoration Using Swin Transformer," Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 1833-1844, 2021.?
Dong C. C. Loy, K. He and X. Tang, "Image Super-Resolution Using Deep Convolutional Networks," European Conference on Computer Vision(ECCV), pp. 184-199, 2014.?
He, K., Zhang, X., Ren, S. and Sun, J., "Deep Residual Learning for Image Recognition," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770-778, 2016.?
Wang X., Xie K., Dong C. and Shan Y., "RealESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Supplementary Material," Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 1905-1914, 2021.?
Chen K., et al., "MMDetection: Open Mmlab Detection Toolbox and Benchmark," arXiv preprint arXiv:1960.07155, 2019.?
Ren S., He K., Girshick R. and Sun J., "Faster r-cnn: Towards Real-Time Object Detection with Region Proposal Networks," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 39, No. 6, pp. 1137-1147, 2017.
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