Jan 4, 2024 · This paper proposed an improved ASPP_BiFPN_YOLOv4 (ABYOLOv4) method to detect human object detection.
The purpose of human object detection is to obtain the number of people and their position in images, which is one of the core problems in the field of ...
The purpose of human object detection is to obtain the number of people and their position in images, which is one of the core problems in the field of ...
The experimental results demonstrated that the proposed ABYOLOv4 network has higher accuracy and lower computational cost for human target detection.
To solve the above problem, this paper proposed an improved ASPP_BiFPN_YOLOv4 (ABYOLOv4) method to detect human object detection. In detail, Atrous Spatial ...
To identify the performance of the proposed ABYOLOv4 model, the human object detection experiment is carried out by using the public data set of VOC2007 and ...
Table 4 Ablation experiment result. From: ABYOLOv4: improved YOLOv4 human object detection based on enhanced multi-scale feature fusion. Model. Precision ...
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The proposed study employs an improved YOLOv4 to identify moving vehicles in different lighting conditions including daylight, cloudy, rainy, and night. For ...
ABYOLOv4: improved YOLOv4 human object detection based on enhanced multi-scale feature fusion · Permeability Prediction in Nonwoven Geotextiles Using ...
ABYOLOv4: improved YOLOv4 human object detection based on enhanced multi-scale feature fusion. Rui Li, EURASIP Journal on Advances in Signal Processing, 2024.