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Insulator Detection Method Using YOLO Combining Feature Reuse and Reconstruction [PDF]

Jisuanji gongcheng
To overcome challenges such as low generalization performance and difficulty in identifying insulators amidst complex backgrounds in deep learning-based insulator defect detection methods, this study introduces a novel method based on the You Only Look ...
Lulu YANG, Ping MA, Cong WANG, Xinkai LI, Yue MENG, Hongli ZHANG
doaj   +2 more sources

BSI-MVS: multi-view stereo network with bidirectional semantic information

Scientific Reports
The basic principle of multi-view stereo (MVS) is to perform 3D reconstruction by extracting depth information from multiple views. Most current SOTA MVS networks are based on Vision Transformer, which usually means expensive computational complexity. To
Ruiming Jia, Jun Yu, Zhenghui Hu, Fei Yuan   +3 more
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Classification and Rating of Scrap Steel Based on Deep Learning

工程科学与技术, 2023
Steel scrap is an important source of ferrite for the modern steel industry and an important raw material for steel companies to achieve carbon neutrality.
Pengcheng XIAO, Wenguang XU, Jinbao CHANG, Liguang ZHU, Rong ZHU, Yunfeng XU   +5 more
doaj  

EBGC-RTDETR: A lightweight model for eggplant disease detection with enhanced RT-DETR architecture

Smart Agricultural Technology
To address the limitations in lesion characterization, regional attention, multi-scale feature fusion, and lightweight deployment in existing models, we propose EBGC-RTDETR, an improved architecture based on RT-DETR-r18.
Zengguang Huo, Xinyu Yang, Xinghua Sun, Bei Zhang, Dan Liu   +4 more
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BCM‐YOLO: An improved YOLOv8‐based lightweight porcelain insulator defect detection model

High Voltage
Porcelain insulator is an important component of power transmission systems, and its condition detection is essential to ensure safe operation of the power grid.
Feng Bin, Fan Hou, Da Chen, Kang Qiu, Xiaofeng Lu, Qiuqin Sun   +5 more
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ATM-Net: A Lightweight Multimodal Fusion Network for Real-Time UAV-Based Object Detection

Drones
UAV-based object detection faces critical challenges including extreme scale variations (targets occupy 0.1–2% image area), bird’s-eye view complexities, and all-weather operational demands.
Jiawei Chen, Junyu Huang, Zuye Zhang, Jinxin Yang, Zhifeng Wu, Renbo Luo   +5 more
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Research on the Lightweight Gear Surface Defect Detection Algorithm Based on BN-YOLOv5

Jixie chuandong
A pretty crucial step in the manufacturing of gears is the defect detection on gear surfaces. An algorithmic detection model called BN-YOLOv5 which is based on an improved YOLOv5 is proposed in order to increase the accuracy of gear surface defect ...
Zhao Xiaohui, Zhang Zhijie, Hu Sheng, Huan Kaixuan, Liu Lei, Pu Junping   +5 more
doaj  

YOLO-TumorNet: An innovative model for enhancing brain tumor detection performance

Alexandria Engineering Journal
Brain tumors are high-risk conditions where early detection and precise localization are crucial for improving patient prognosis. However, existing automated detection methods still exhibit limitations in robustness within complex backgrounds, boundary ...
Jian Huang, Wen Ding, Tiancheng Zhong, Gang Yu   +3 more
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S2DB-mmWave YOLOv8n: Multi-object detection for millimeter-wave radar using YOLOv8n with optimized multi-scale features.

PLoS ONE
Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions.
Mengqi Yuan, Yajing Yuan, Xiangqun Zhang, Zhenghao Zhu, Chenxi Zhao, Xiangqian Gao, Genyuan Du   +6 more
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THz image recognition of moldy wheat based on multi-scale context and feature pyramid

Frontiers in Plant Science
Wheat is susceptible to mold growth due to storage conditions, which subsequently affects its quality; therefore, timely and rapid identification of moldy wheat is critically important.
Yuying Jiang, Yuying Jiang, Yuying Jiang, Xinyu Chen, Xinyu Chen, Xinyu Chen, Hongyi Ge, Hongyi Ge, Hongyi Ge, Xixi Wen, Xixi Wen, Xixi Wen, Mengdie Jiang, Mengdie Jiang, Mengdie Jiang, Yuan Zhang, Yuan Zhang, Yuan Zhang   +17 more
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