YOLO-Mamba: object detection method for infrared aerial images
Author:
Funder
National Natural Science Foundation of China
Shijiazhuang Tiedao University Graduate Innovation Funding Project
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-024-03507-4.pdf
Reference28 articles.
1. Xv, C., Tu, L.H., Wang, Y.H.: Application of unmanned aerial vehicle in civil field in China. Flight Dyn. 40(03), 1–6+12 (2022). https://doi.org/10.13645/j.cnki.f.d.20220412.006
2. Wang, Y., Pan, Z.B.: Review of de-noise and enhancement technology for infrared image. Radio Eng. 46(10), 1–7+28 (2016)
3. Redmon, J., Divvala, S., Girshick, R., et al.: 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)
4. Liu, W., Anguelov, D., Erhan, D., et al.: Ssd: single shot multibox detector. In: Computer Vision—ECCV 2016:14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part I 14, pp. 21–37. Springer (2016)
5. Girshick, R., Donahue, J., Darrell, T., et al.: Rich feature hierarchies for accurate object detection and semantic segmentation tech report (v5) (2017). https://doi.org/10.1109/cvpr.2014.81
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