Open Access
Issue |
ITM Web Conf.
Volume 53, 2023
2nd International Conference on Data Science and Intelligent Applications (ICDSIA-2023)
|
|
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Article Number | 02009 | |
Number of page(s) | 15 | |
Section | Machine Learning / Deep Learning | |
DOI | https://doi.org/10.1051/itmconf/20235302009 | |
Published online | 01 June 2023 |
- Akundi, A., Reyna, M.: A machine vision based automated quality control system for product dimensional analysis. Procedia Computer Science 185, 127–134 (2021). https://doi.org/10.1016/j.procs.2021.05.014. Big Data, IoT, and AI for a Smarter Future [CrossRef] [Google Scholar]
- Lawaniya, H.: Computer vision. IET Computer Vision (2020) [Google Scholar]
- Li, B.: Research on geometric dimension measurement system of shaft parts based on machine vision. EURASIP Journal on Image and Video Processing 2018 (2018). https://doi.org/10.1186/s13640-018-0339-x [Google Scholar]
- Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: Unified, real-time object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 779–788 (2016) [Google Scholar]
- Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: Unified, real-time object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 779–788 (2016) [Google Scholar]
- Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S.E., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: Going deeper with convolutions. CoRR abs/1409.4842 (2014) 1409.4842 [Google Scholar]
- Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C.-Y., Berg, A.C.: Ssd: Single shot multibox detector. In: European Conference on Computer Vision, pp. 21–37 (2016). Springer [Google Scholar]
- Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems 28 (2015) [Google Scholar]
- Girshick, R.B., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. CoRR abs/1311.2524 (2013) 1311.2524 [Google Scholar]
- Redmon, J., Farhadi, A.: Yolo9000: better, faster, stronger. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7263–7271 (2017) [Google Scholar]
- Redmon, J., Farhadi, A.: YOLO9000: better, faster, stronger. CoRR abs/1612.08242 (2016) 1612.08242 [Google Scholar]
- Wu, C., Wen, W., Afzal, T., Zhang, Y., Chen, Y., Li, H.: A compact dnn: Approaching googlenet-level accuracy of classification and domain adaptation. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 761–770 (2017). https://doi.org/10.1109/CVPR.2017.88 [Google Scholar]
- Redmon, J., Farhadi, A.: Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767 (2018) [Google Scholar]
- Bochkovskiy, A., Wang, C.-Y., Liao, H.-Y.M.: Yolov4: Optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934 (2020) [Google Scholar]
- Tan, M., Pang, R., Le, Q.V.: Efficientdet: Scalable and efficient object detection. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 10781–10790 (2020) [Google Scholar]
- Siddiki, S.Y., Afroz, M., Munib, G., Amin, M.: Simulation of production of nitric acid. (2015) [Google Scholar]
- Wang, C.-Y., Mark Liao, H.-Y., Wu, Y.-H., Chen, P.-Y., Hsieh, J.-W., Yeh, I.-H.: Cspnet: A new backbone that can enhance learning capability of CNN. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 1571–1580 (2020). https://doi.org/10.1109/CVPRW50498.2020.00203 [Google Scholar]
- Redmon, J., Farhadi, A.: Yolov3: An incremental improvement. CoRR abs/1804.02767 (2018) 1804.02767 [Google Scholar]
- He, K., Zhang, X., Ren, S., Sun, J.: Spatial pyramid pooling in deep convolutional networks for visual recognition. IEEE transactions on pattern analysis and machine intelligence 37(9), 1904–1916 (2015) [CrossRef] [Google Scholar]
- Yang, J., Fu, X., Hu, Y., Huang, Y., Ding, X., Paisley, J.: Pannet: A deep network architecture for pan-sharpening. In: 2017 IEEE International Conference on Computer Vision (ICCV), pp. 1753–1761 (2017). https://doi.org/10.1109/ICCV.2017.193 [Google Scholar]
- Lin, T.-Y., Dollar, P., Girshick, R., He, K., Hariharan, B., Belongie, S.: Feature pyramid networks for object detection. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 936–944 (2017). https://doi.org/10.1109/CVPR.2017.106 [Google Scholar]
- Koonce, B.: ResNet 50, pp. 63–72 (2021). https://doi.org/10.1007/978-1-4842-6168-26 [Google Scholar]
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