id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-6350	Liu, Chanyi; Huang, Dan; Wang, Tao; Zhu, Tao	Road Traffic Small Target Detection Algorithm Based on Lightweight YOLO V5	2023	4	.pdf	application/pdf	2629	143	50	For target detection, many scholars have been improving the capability of target detection networks to achieve good detection results, Ren et al improved the SSD algorithm to enhance the detection capability of the network for obscured objects or small objects. YOLOv5 algorithm is the latest version of the current YOLO series detection algorithm, proposed by Ultralytics Yolov5 main structure is shown in Figure 1, the model consists of four parts: input side (Input), backbone network (Backbone), multi-scale feature fusion network (Neck), and detection network (YOLOHead).	cache/fcis-6350.pdf	txt/fcis-6350.txt