Author:
AV Shubhasree,Sankaran Praveen,C.V Raghu
Publisher
Springer Science and Business Media LLC
Reference52 articles.
1. Shubhasree, A.V., Sankaran, P., Raghu, C.: UAV image analysis of flooded area using convolutional neural networks. In: 2022 International Conference on Connected Systems & Intelligence (CSI), pp. 1–7. IEEE(2022)
2. Wang, C.-Y., Bochkovskiy, A., Liao, H.-Y.M.: YOLOv7: trainable bag-of-freebies sets new state-of-the-art for real-time object detectors. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 7464–7475 (2023)
3. Bacea, D.-S., Oniga, F.: Single stage architecture for improved accuracy real-time object detection on mobile devices. Image Vis. Comput. 130, 104613 (2023)
4. Jiang, Z., Zhao, L., Li, S., Jia, Y.: Real-time object detection method based on improved yolov4-tiny (2020). arXiv preprint arXiv:2011.04244
5. Liu, S., Zha, J., Sun, J., Li, Z., Wang, G.: EdgeYOLO: an edge-real-time object detector (2023). arXiv preprint arXiv:2302.07483