YOLOv1 to YOLOv10: The Fastest and Most Accurate Real-time Object Detection Systems
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 p...
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Veröffentlicht in: | APSIPA transactions on signal and information processing 2024-01, Vol.13 (1) |
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Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | 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. |
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ISSN: | 2048-7703 2048-7703 |
DOI: | 10.1561/116.20240058 |