计算机科学
人工智能
过程(计算)
目标检测
算法
芯(光纤)
点(几何)
对象(语法)
深度学习
面子(社会学概念)
计算机视觉
模式识别(心理学)
数学
电信
社会科学
操作系统
社会学
几何学
作者
Yaohui Pan,Gang Wang,Jun Yu
摘要
At present, the YOLO algorithm has become an indispensable core real-time object detection technology in aspects such as unmanned driving, face detection, and robot applications, and its versions are constantly being updated and upgraded. Herein, we deeply analyze the evolution process of the YOLO algorithm and carefully investigate the innovations and contributions arising from the algorithm iterations from YOLOv1 to YOLOv5. We make vivid and inspiring prospects for the future development direction and point out the feasibility and necessity of the research on the YOLO algorithm.
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