… a small target detection layer and alterations to the feature pyramid using the feature fusion
… improved YOLOv5 algorithm augments detection accuracy by 1.9% and achieves a detection …

… in pedestrian target detection for the autonomous driving system. This paper proposes a
lightweight pedestrian detection … to head have both robust semantic information and substantial …

… Although YOLOv5 already possesses strong learning capabilities, it still has … paper is
improved based on YOLOv5, and its pedestrian detection effect has been significantly improved …

… improving pedestrian detection in several subclasses. According to the Yolov5 models, the
best detection … Del Bimbo, “Robust pedestrian detection in thermal imagery using synthesized …

… robustness of the model are enhanced. Great performance. The coordinate attention
mechanism (CA) module is introduced, which can accurately capture the direction information and …

… as comparisons with our improved YOLOv5-AC at the same … improved YOLOv5-AC algorithm
in this experiment is better … prediction method of crowd behavior for robust to pedestrian …

… robust lightweight network) for pedestrian detection on rainy days, based on an improved
version of YOLOv5… parameters of the YOLOv5-x backbone network and enhance its feature …

… An improved YOLOv5 lightweight dense pedestrian detection … is improved to solve the
problem of real-time detection of … a certain accuracy and robustness in pedestrian-dense scenes. …

… YOLOv5 algorithm, the improved algorithm proposed in this paper has higher accuracy and
a lower missing rate in pedestrian detection in … strong localization features from bottom to top. …

… is a lightweight and easy to deploy algorithm with strong timeliness and high detection
accuracy, suitable for detection in various environments. Therefore, this article selects the …