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Keyword: dynamic upsampling ×Clear all

3 claims from 1 paper

1. Computer Science › Advanced Neural Network Applications

   SOD-YOLO: Small-Object-Detection Algorithm Based on Improved YOLOv8 for UAV Images

   Li, Li, Pan et al. · Remote Sensing · 2024

   The paper proposes SOD-YOLO, a modified YOLOv8 model for detecting small objects in drone images, and reports higher accuracy than YOLOv8 and other methods on VisDrone2019.

   Unchecked3 claims
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   1. UncheckedOn the VisDrone2019 dataset, SOD-YOLO-s scores 3% higher mAP50 than YOLOv8s with 84.2% fewer parameters and 30% less computation.“The experimental results on the VisDrone2019 dataset demonstrate that SOD-YOLO-s improves the mAP50 indicator by 3% compared to YOLOv8s while reducing the number of parameters and computational complexity by 84.2% and 30%, respectively.”
   2. UncheckedOn the VisDrone2019 dataset, SOD-YOLO-l scores 7.7% higher mAP50 than YOLOv8l while using 59.6% fewer parameters.“Compared to YOLOv8l, SOD-YOLO-l improves the mAP50 indicator by 7.7% and reduces the number of parameters by 59.6%.”
   3. UncheckedOn the VisDrone2019 dataset, the authors' SOD-YOLO-l model reaches higher detection accuracy than the other existing methods they compared it with.“Compared to other existing methods, SODA-YOLO-l achieves the highest detection accuracy, demonstrating the superiority of the proposed method.”