目标检测算法在交通场景中应用综述.

肖雨晴, 杨慧敏 - Journal of Computer Engineering & …, 2021 - search.ebscohost.com
目标检测是计算机视觉领域的重要研究任务, 在机器人, 自动驾驶, 工业检测等方面应用广泛.
在深度学习理论的基础上, 系统性总结了目标检测算法的发展与研究现状, 对两类算法的特点 …

A deep learning method for oriented and small wheat spike detection (OSWSDet) in UAV images

J Zhao, J Yan, T Xue, S Wang, X Qiu, X Yao… - … and Electronics in …, 2022 - Elsevier
Detecting and characterizing spikes from wheat field images is essential in wheat growth
monitoring for precision farming. Along with various technological developments, deep …

Efficient-lightweight yolo: Improving small object detection in yolo for aerial images

M Hu, Z Li, J Yu, X Wan, H Tan, Z Lin - Sensors, 2023 - mdpi.com
The most significant technical challenges of current aerial image object-detection tasks are
the extremely low accuracy for detecting small objects that are densely distributed within a …

Multi-scale safety helmet detection based on SAS-YOLOv3-tiny

R Cheng, X He, Z Zheng, Z Wang - Applied Sciences, 2021 - mdpi.com
In the practical application scenarios of safety helmet detection, the lightweight algorithm
You Only Look Once (YOLO) v3-tiny is easy to be deployed in embedded devices because …

Tomato maturity classification based on SE-YOLOv3-MobileNetV1 network under nature greenhouse environment

F Su, Y Zhao, G Wang, P Liu, Y Yan, L Zu - Agronomy, 2022 - mdpi.com
The maturity level of tomato is a key factor of tomato picking, which directly determines the
transportation distance, storage time, and market freshness of postharvest tomato. In view of …

Improved mask R-CNN multi-target detection and segmentation for autonomous driving in complex scenes

S Fang, B Zhang, J Hu - Sensors, 2023 - mdpi.com
Vision-based target detection and segmentation has been an important research content for
environment perception in autonomous driving, but the mainstream target detection and …

Sim-YOLOv5s: A method for detecting defects on the end face of lithium battery steel shells

H Hu, Z Zhu - Advanced Engineering Informatics, 2023 - Elsevier
The detection of lithium battery shell defects is an important aspect of lithium battery
production. The presence of pits, R-angle injuries, hard printing, and other defects on the …

A deep learning approach for real-time rebar counting on the construction site based on YOLOv3 detector

Y Li, Y Lu, J Chen - Automation in Construction, 2021 - Elsevier
Counting steel bars is a routine daily task for steel manufacturers and most building
construction sites. Currently, counting is usually performed manually, which is laborious …

Light-YOLOv5: A lightweight algorithm for improved YOLOv5 in complex fire scenarios

H Xu, B Li, F Zhong - Applied Sciences, 2022 - mdpi.com
Fire-detection technology is of great importance for successful fire-prevention measures.
Image-based fire detection is one effective method. At present, object-detection algorithms …

Online visual monitoring method for liquid rocket engine nozzle welding based on a multi-task deep learning model

Y Zhou, B Chang, H Zou, L Sun, L Wang… - Journal of Manufacturing …, 2023 - Elsevier
Online quality monitoring is important in liquid rocket engine nozzle (LREN) welding
procedures. Convolutional neural networks (CNNs) are widely applied in welding quality …