Jul 17, 2023 · This paper proposes an improved E-YOLOv4-tiny based on the YOLOv4-tiny. Firstly, this article constructs an efficient layer aggregation lightweight block.
Jul 18, 2023 · This paper proposes an improved E-YOLOv4-tiny based on the YOLOv4-tiny. Firstly, this article constructs an efficient layer aggregation lightweight block.
E-YOLOv4-tiny: a traffic sign detection algorithm for urban road scenarios. https://doi.org/10.3389/fnbot.2023.1220443 ·. Journal: Frontiers in Neurorobotics ...
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E-YOLOv4-tiny: a traffic sign detection algorithm for urban road scenarios. Overview of attention for article published in Frontiers in Neurorobotics, July ...
This study offers an enhanced yolov4-tiny traffic sign identification method for easy deployment on mobile or embedded devices
Abstract—A new lightweight traffic sign detection algorithm based on YOLOv4 has been proposed to address the time-consuming issue of existing algorithms ...
Missing: tiny: urban
Based on the Nagel-Schreckenberg (NaSch) model of traffic flow, we study the effects of the orders of the evolutive rule on traffic flow.
This study offers an enhanced yolov4-tiny traffic sign identification method for easy deployment on mobile or embedded devices to address the difficulties ...
E-YOLOv4-tiny: a traffic sign detection algorithm for urban road scenarios. Y Xiao, S Yin, G Cui, W Zhang, L Yao, Z Fang. Frontiers in Neurorobotics 17 ...
Compared with the original YOLOv3 algorithm, M-YOLO algorithm combines the advantages of various networks to optimize the detection accuracy and speed of YOLOv3 ...