45 citations · 166 across the 8 of their papers we have counts for
8 papers
Dense Object Detection Based on De-homogenized Queries
Yueming Huang, Chenrui Ma, Hao Zhou +2
Dense object detection is widely used in automatic driving, video surveillance, and other fields. This paper focuses on the challenging task of dense object detection. Currently, d…
Improved YOLOv7 model for insulator defect detection
Zhenyue Wang, Guowu Yuan, Hao Zhou +3
Insulators are crucial insulation components and structural supports in power grids, playing a vital role in the transmission lines. Due to temperature fluctuations, internal stres…
Foreign-Object Detection in High-Voltage Transmission Line Based on Improved YOLOv8m
Zhenyue Wang, Guowu Yuan, Hao Zhou +2
The safe operation of high-voltage transmission lines ensures the power grid's security. Various foreign objects attached to the transmission lines, such as balloons, kites and nes…
Improved YOLOv5s model for key components detection of power transmission lines
Chen Chen, Guowu Yuan, Hao Zhou +1
High-voltage transmission lines are located far from the road, resulting in inconvenient inspection work and rising maintenance costs. Intelligent inspection of power transmission…
An Appearance Defect Detection Method for Cigarettes Based on C-CenterNet
Hongyu Liu, Guowu Yuan, Lei Yang +2
Due to the poor adaptability of traditional methods in the cigarette detection task on the automatic cigarette production line, it is difficult to accurately identify whether a cig…
Classification of Solar Radio Spectrum Based on Swin Transformer
Jian Chen, Guowu Yuan, Hao Zhou +3
Solar radio observation is a method used to study the Sun. It is very important for space weather early warning and solar physics research to automatically classify solar radio spe…
Self-Supervised Learning for Solar Radio Spectrum Classification
Siqi Li, Guowu Yuan, Jian Chen +2
Solar radio observation is an important way to study the Sun. Solar radio bursts contain important information about solar activity. Therefore, real-time automatic detection and cl…
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images
Lei Yang, Guowu Yuan, Hao Zhou +3
Automatic object detection by satellite remote sensing images is of great significance for resource exploration and natural disaster assessment. To solve existing problems in remot…