相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。
Article
Computer Science, Information Systems
Dongmei Shi et al.
Summary: This article investigates the YOLO (You Only Look Once) face recognition algorithm based on regression method and proposes an improved YOLOv3 algorithm based on Bayesian optimization to address the problem of small target missing detection. Experimental results demonstrate that the proposed improved YOLOv3 model can effectively improve the detection accuracy of multiple faces and small targets.
JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING
(2022)
Article
Computer Science, Software Engineering
Huili Dou et al.
Summary: This study proposes a dynamic multitarget detection algorithm for classification and dynamic multitarget detection of targets in front of vehicles. The algorithm utilizes an improved YOLOv3 model and lightweight Mobilenetv2 for feature extraction, resulting in a detection leakage rate of less than 5% and a significant reduction in model parameter quantity.
SCIENTIFIC PROGRAMMING
(2022)
Article
Robotics
Haiqing Zhai et al.
Summary: This study proposes a method for detecting low-altitude unmanned aerial vehicle (UAV) targets based on an improved YOLOv3 network. The method enhances the detection ability of small targets by adding multiscale prediction and controlling a pan/tilt/zoom (PTZ) camera. Experimental results using real UAV datasets show that the method outperforms other methods in terms of mean average precision (mAP), AP50, AP75, and frame rate.
JOURNAL OF ROBOTICS
(2022)
Article
Engineering, Electrical & Electronic
Zhihui Wang et al.
Summary: The modified YOLOv3 network proposed in this paper uses bounding rectangles to locate surface defects, improving both detection efficiency and computational efficiency.
JOURNAL OF SENSORS
(2022)
Article
Computer Science, Interdisciplinary Applications
Lianhui Li et al.
Summary: Digital twin is a technology that creates a virtual model of a physical entity in a digital way, enabling interaction and integration between the physical and information worlds, and providing a reliable bridge for industrial information integration. With the advancement of digital twin, its application in smart manufacturing has become increasingly widespread. This paper proposes a quantitative green performance evaluation framework for smart manufacturing, driven by a digital twin-based industrial information integration system.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2022)
Article
Physics, Multidisciplinary
Lu Wang et al.
Summary: This study proposed a method for automatic reading of pointer instruments by combining Faster-RCNN-based object detection with traditional computer vision, which optimized the quality of the data set and improved the accuracy of target detection. It has practical value in solving the meter reading problems in industrial settings.
Article
Engineering, Multidisciplinary
Baojun Zhang et al.
Summary: By designing a four-scale detection structure, using soft-NMS instead of NMS, training datasets and applying the K-Means method to generate anchor boxes, the recognition accuracy and speed of long-distance traffic signs can be greatly improved.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Hongjun Wang et al.
Summary: A YOLOv3-Litchi model was proposed for detecting densely distributed litchi fruits in large visual scenes, improving the detection ability for small and dense fruits. Comparative experiments with other algorithms showed that the model outperformed others in terms of accuracy and detection speed.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Computer Science, Software Engineering
Qiong Yang et al.
Summary: The method proposed in this study combines different technologies to successfully address the challenge of detecting illegal behavior of taxis. It is able to accurately recognize the violations of taxis and has a high detection accuracy.
SCIENTIFIC PROGRAMMING
(2021)
Article
Computer Science, Information Systems
Song Li et al.
Summary: Rail transit is moving towards intelligence with deep learning tasks such as object detection being widely used, but limited computation capability of train onboard equipment hinders complex tasks, thus requiring the assistance of edge computing for real-time object detection.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2021)
Article
Mathematics, Interdisciplinary Applications
Wenkai Wang et al.
Summary: A high-accuracy real-time fish detection model was proposed in this study, which successfully reduced the miss detection rate and improved the detection accuracy of targets in underwater aquaculture environments through the collection of experimental datasets and optimization of hyperparameters.
Article
Mathematics, Interdisciplinary Applications
Chun Liu et al.
Summary: This paper proposes a method that achieves automatic detection, tracking, and self-correction of ship numbers in water using a deep learning model, demonstrating stability and robustness, applicable for automatic analysis of waterway videos and statistics extraction.
Article
Engineering, Civil
Dehai Chen et al.
Summary: The study proposed a ship detection method based on YOLOv3, utilizing feature attention and feature enhancement modules to improve feature extraction ability and detection accuracy, achieving better results compared to mainstream ship detection models.
JOURNAL OF ADVANCED TRANSPORTATION
(2021)
Article
Mathematics, Interdisciplinary Applications
Lianhui Li et al.
Article
Engineering, Mechanical
Yan Li et al.
STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING
(2020)
Article
Engineering, Multidisciplinary
Lian-hui Li et al.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2017)
Article
Thermodynamics
Lianhui Li et al.
ADVANCES IN MECHANICAL ENGINEERING
(2017)
