Improved YOLOv8-Based Lightweight Object Detection on Drone Images
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5600-1_37
Reference16 articles.
1. Zhao, C., Liu, R.W., Qu, J., Gao, R.: Deep learning-based object detection in maritime unmanned aerial vehicle imagery: review and experimental comparisons. Eng. Appl. Artif. Intell. 128, 107513 (2024)
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3. Zhu, X., Lyu, S., Wang, X., Zhao, Q.: TPH-YOLOv5: improved YOLOv5 based on transformer prediction head for object detection on drone-captured scenarios. In: Proceedings of the IEEE/CVF International Conference on Computer Vision 2021, Montreal, Canada, NJ, pp. 2778–2788. IEEE (2021)
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5. 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 2020, Seattle, WA, USA, NJ, pp. 10781–10790. IEEE (2020)
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