Lightweight Fugitive Dust Pollution Source Detection Method Based on CenterNet
Graphic and Image Processing|更新时间:2025-02-10
|
Lightweight Fugitive Dust Pollution Source Detection Method Based on CenterNet
“In the field of dust pollution source monitoring, the lightweight object detection method mCFP CenterNet based on CenterNet effectively reduces the missed detection rate and meets the application requirements of lightweight and high-precision.”
EEG Emotion Recognition Based on 3D Feature Fusion and Lightweight CNN
Lightweight Detection Algorithm for Tibetan Medicinal Plants Based on Improved YOLOv8
Research on Chain Rail Joint Crack Defect Detection Method Based on Improved FCOS
Related Author
JIANG Fangbing
ZHOU Wei
CHEN Ziyang
SUI Li
HU Lei
LUO Zhiling
LI Dong
LIU Xiaojing
Related Institution
Key Laboratory of Big Data & Artificial Intelligence in Transportation, Ministry of Education, School of Computer and Information Technology, Beijing Jiaotong University
School of Health Science and Engineering,University of Shanghai for Science and Technology
School of Computer Technology and Application, Qinghai University
School of Electrical and Information Engineering, Jiangsu University
School of Computer and Communication Engineering, Changsha University of Science and Technology