Abstract: The YOLOv4 network is widely used in object detection tasks as a representative network, but there is also the problem that the complexity of the network model affects the detection speed.

1 School of Computer, North China Institute of Science and Technology, Yanjiao, China. 2 School of Safety Engineering, North China Institute of Science and Technology, Yanjiao, China. 3 Security ...

ABSTRACT: To improve the performance of the forest fire smoke detection model and achieve a better balance between detection accuracy and speed, an improved YOLOv4 detection model (MoAm-YOLOv4) that ...

2020) is an efficient and powerful target detection model combined with a large number of previous research techniques and combined innovation. YOLOv4 structure is shown in Figure 2. Figure 2 YOLOv4 ...

Experimental results show that the transformer vibration vector can be calculated in real time and accurately by using the ... 5 shows the flow chart of the proposed method. The experimental ...