Based on You Only Look Once version 5 (hereinafter referred to as YOLOv5) algorithm, this research proposes a YOLO-S model, which is very friendly to small objects. Firstly, on the basis of the orginal output layer with only three layers, a special output layer ...
Traffic sign detection is a challenging task for unmanned driving systems. In the traffic sign detection process, the object size and weather conditions vary widely, which will have a certain impact on the detection accuracy. In order to solve the proble
However, the computation cost of these models is large, which makes deploying a real-time object detection system unfeasible, while leaving room for improvement. To this end, an improved YOLOv5 model: HIC-YOLOv5 is proposed to address the aforementioned problems. Firstly, an additional prediction...
论文题目:Small object detection in UAV image based on improved YOLOv5(基于改进YOLOv5的无人机小目标检测) 作者:Jian Zhang, Guoyang Wan, Ming Jiang, Guifu Lu, Xiuwen Tao & Zhiyuan Huang 期刊:S…
ultralytics / yolov5 Public Sponsor Notifications Fork 16.5k Star 51.4k New issue Implementation of : HIC-YOLOv5: Improved YOLOv5 for Small Object Detection #12264 Open aash1999 wants to merge 25 commits into ultralytics:master from aash1999:master +258 −2 Conversation 35 Commits ...
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios Xingkui Zhu1 * Shuchang Lyu1 * Xu Wang 1 Qi Zhao1 † 1 Beihang University, Beijing, China {adlith, lyushuchang, sy2002406, zhaoqi...
According to the experimental results, with a small number of parameters added, S2LBPNet outperforms the YOLOv5s baseline by 2.2% and 5.1% on DIOR ... K Zhou,M Zhang,ZH Wang - 《International Journal of Remote Sensing》 被引量: 0发表: 2023年 Improved YOLOv5 network method for ground ...
A Novel YOLOv5_ES based on lightweight small object detection head for PCB surface defect detection Article Open access 10 October 2024 Global contextual attention augmented YOLO with ConvMixer prediction heads for PCB surface defect detection Article Open access 16 June 2023 Introduction...
Neural networks for object detection have difficulty balancing accuracy and computational cost. The practical application of lightweight object detection networks is a difficult problem. In this paper, we propose SCAM-YOLOv5, which uses a modified attention mechanism and Ghost convolution to improve the...
Proposed integrated improved model: For the detection of concrete surface defects, an integrated and improved YOLOV5 model, which can effectively detect small targets, as shown in Fig. 1. The improved YOLOV5 model training consists of four stages: Stages 1−3 generate high-quality samples, perf...