Improving real-time object detection in Internet-of-Things smart city traffic with YOLOv8-DSAF method
Author:
Funder
National Natural Science Foundation of China under Grant
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-68115-1.pdf
Reference41 articles.
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3. Wang, X., Gao, H., Jia, Z. & Li, Z. BL-YOLOv8: An improved road defect detection model based on YOLOv8. Sensors 23(20), 8361 (2023).
4. Lj, Z. et al. CR-YOLOv8: Multiscale object detection in traffic sign images. IEEE Access 99, 1–1 (2023).
5. Sharma, N., Baral, S., Paing, M. P. & Chawuthai, R. Parking time violation tracking using YOLOv8 and tracking algorithms. Sensors 23(13), 5843 (2023).
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