Results 151 to 160 of about 2,016 (190)
EM-YOLO: high-precision electronic component detection via multi-scale attention and dynamic feature fusion. [PDF]
Xu Z, Han J, Qin H, Gao K, Xie K, He J.
europepmc +1 more source
Construction worker hardhat-wearing detection based on an improved BiFPN
Work in the construction site is considered to be one of the occupations with the highest safety risk factor. Therefore, safety plays an important role in construction site. One of the most fundamental safety rules in construction site is to wear a hardhat.
Chenyang Zhang +4 more
openaire +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Improved YOLOv5 with BiFPN on PCB Defect Detection
2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE), 2021Xiaoqi Wang, Xiangyu Zhang, Ning Zhou
exaly +2 more sources
A New Target Detection Method of Ferrography Wear Particle Images Based on ECAM-YOLOv5-BiFPN Network
For mechanical equipment, the wear particle in the lubrication system during equipment operation can reflect the lubrication condition, wear mechanism, and severity of wear between equipment friction pairs.
Lei He, Haijun Wei, Qixuan Wang
exaly +2 more sources
The results of traditional vegetation-measuring methods are mostly two-dimensional data, which can only convey limited information. The greening situation of many cities or regions in the world cannot be fully assessed by these results.
Jianmin Jiang +2 more
exaly +2 more sources
Using BiFPN to improve YOLOv5s for empty bottle surface defect detection
Fifth International Conference on Image Processing and Intelligent Control (IPIC 2025)Xinjun An
exaly +2 more sources
Enhancing Stored Grain Pest Detection with Improved YOLOv8-BiFPN Model
2024 International Conference on Orange Technology (ICOT)Xinwei Qin +3 more
exaly +2 more sources
BiFPN-YOLOv8: A High-Performance Deep Learning Model for Traffic Light Recognition
2025 11th International Conference on Control, Decision and Information Technologies (CoDIT)Amir A Ghavifekr
exaly +2 more sources
Improved Metal Surface Defect Detection Model of YOLOv5 Combining CBAM and BiFPN
Communications in Computer and Information ScienceKun Bai, Xiao Wei
exaly +2 more sources
An Improved YOLOv8 Algorithm Based on BiFPN Architecture for Detection of Aerospace Connector Pins
2025 4th International Symposium on Aerospace Engineering and Systems (ISAES)Shijun Liu, Jianjun Yi
exaly +2 more sources

