改进YOLOv8的道路交通标志目标检测算法OA北大核心CSTPCD
Improved YOLOv8 Object Detection Algorithm for Traffic Sign Target
虽然,当前检测技术日趋成熟,但对于复杂环境下的小目标检测仍然是研究的重难点.针对道路交通场景中普遍存在的交通标志小目标比例较高,环境干扰因素较大的问题,提出了一种基于YOLOv8改进的道路交通标志目标检测算法.由于小目标检测中容易出现漏检的现象,利用BRA(bi-level routing attention)注意力机制提高网络对小目标的感知能力.此外,还利用可形变卷积模块DCNv3(deformable convolution v3),针对特征…查看全部>>
Although the current testing technology is becoming increasingly mature,the detection of small targets in complex environments is still the most difficult point in research.Aiming at the problem of high target proportion of traffic signs in road traffic scenarios,the problem of high target proportion of small targets and large environmental inter-ference factors,it proposes a type of road traffic logo target test algorithm based on YOLOv8 improvement.Due to …查看全部>>
田鹏;毛力
江南大学 人工智能与计算机学院,江苏 无锡 214122江南大学 人工智能与计算机学院,江苏 无锡 214122
计算机与自动化
YOLOv8小目标检测可形变卷积注意力机制复杂道路场景
YOLOv8small target detectiondeformable convolutionattention mechanismcomplex road scenes
《计算机工程与应用》 2024 (8)
202-212,11
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