Comparative Analysis of YOLO Algorithms for Intelligent Traffic Monitoring
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3432-4_13
Reference13 articles.
1. Redmon J, Divvala S, Girshick R, Farhadi A (2016) You only look once: unified, real-time object detection. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 779–788. https://doi.org/10.1109/CVPR.2016.91
2. Redmon J, Farhadi A (2017) YOLO9000: better, faster, stronger. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 6517–6525. https://doi.org/10.1109/CVPR.2017.690
3. Redmon J, Farhadi A (2018) YOLOv3: an incremental improvement. Comput Vis Pattern Recognit. https://doi.org/10.48550/arXiv.1804.02767
4. Bochkovskiy A, Wang CY, Liao HY (2020) YOLOv4: optimal speed and accuracy of object detection. Comput Vis Pattern Recognit
5. Jiang P, Ergu D, Liu F, Cai Y, Ma B (2022) A review of yolo algorithm developments. Procedia Comput Sci 199:1066–1073. ISSN:1877-0509. https://doi.org/10.1016/j.procs.2022.01.135
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