YOLOv1 to YOLOv10: The Fastest and Most Accurate Real-time Object Detection Systems

被引:5
|
作者
Wang, Chien-Yao [1 ,2 ]
Liao, Hong-Yuan Mark [1 ,2 ,3 ]
机构
[1] Acad Sinica, Inst Informat Sci, Taipei, Taiwan
[2] Natl Taipei Univ Technol, Taipei, Taiwan
[3] Natl Chung Hsing Univ, Taipei, Taiwan
关键词
YOLO; computer vision; real-time object detection;
D O I
10.1561/116.20240058
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This is a comprehensive review of the YOLO series of systems. Different from previous literature surveys, this review article reexamines the characteristics of the YOLO series from the latest technical point of view. At the same time, we also analyzed how the YOLO series continued to influence and promote realtime computer vision-related research and led to the subsequent development of computer vision and language models. We take a closer look at how the methods proposed by the YOLO series in the past ten years have affected the development of subsequent technologies and show the applications of YOLO in various fields. We hope this article can play a good guiding role in subsequent real-time computer vision development.
引用
收藏
页数:38
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