Author:
Guo Yiran,Shen Qiang,Zhang Shouyi,Zhang Chong,Wang Xiaokang
Publisher
Springer Nature Singapore
Reference15 articles.
1. Jocher, G., et al.: Ultralytics/yolov5: v7.0 - YOLOv5 SOTA Realtime Instance Segmentation (2022). https://doi.org/10.5281/ZENODO.7347926
2. Lee, D., Gyu La, W., Kim, H.: Drone detection and identification system using artificial intelligence. In: 2018 International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea (South), pp. 1131–1133 (2018)
3. Al-Emadi, S., Al-Senaid, F.: Drone detection approach based on radio-frequency using convolutional neural network. In: 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT), Doha, Qatar, pp. 29–34 (2020)
4. Tao, L., Hong, T., Guo, Y., Chen, H., Zhang, J.: Drone identification based on CenterNet-TensorRT. In: 2020 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Paris, France, pp. 1–5 (2020)
5. Yang, R., Li, W., Shang, X., Zhu, D., Man, X.: KPE-YOLOv5: an improved small target detection algorithm based on YOLOv5. Electronics 12(817), 817 (2023)