YOLO-HLFE: A UAV Perspective Target Detector With Hybrid Loss and Feature Enhancement Based on YOLOv7
Author:
Funder
National Key Research and Development Program
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13369-024-09188-y.pdf
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3. Nagarani, N.; Venkatakrishnan, P.; Balaji, N.: Unmanned aerial vehicles runway landing system with efficient target detection by using morphological fusion for military surveillance system. Comput. Commun. 151, 463–472 (2020)
4. Khan, S.; et al.: A novel framework for multiple ground target detection, recognition and inspection in precision agriculture applications using a uav. Unman. Syst. 10, 45–56 (2022)
5. Kellenberger, B.; Marcos, D.; Lobry, S.; Tuia, D.: Half a percent of labels is enough: efficient animal detection in uav imagery using deep cnns and active learning. IEEE Trans. Geosci. Remote Sens. 57, 9524–9533 (2019)
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