Optimizing surface defect detection with YOLOv9: the role of advanced backbone models. [PDF]
Front Artif IntellZeng Z, Wang H, Yao C, Dong Z, Cai S.
europepmc +1 more source
A lightweight network for phone surface defect detection with industrial deployment on RK3568 edge devices. [PDF]
PLoS OneZhuo S +5 more
europepmc +1 more source
A high precision and lightweight method for steel surface defect detection based on improved YOLOv5. [PDF]
Sci RepZhou M, Wang H, Wang Y.
europepmc +1 more source
YOLO-UMS: Multi-Scale Feature Fusion Based on YOLO Detector for PCB Surface Defect Detection. [PDF]
Sensors (Basel)Peng H, Yang W, Yu B.
europepmc +1 more source
Metal Surface Defect Detection Using Modified YOLO
Algorithms, 2021 Aiming at the problems of inefficient detection caused by traditional manual inspection and unclear features in metal surface defect detection, an improved metal surface defect detection technology based on the You Only Look Once (YOLO) model is ...
Li Wang, Kai Zhang, Yiming Xu
exaly +2 more sources
Related searches:
Defect-aware transformer network for intelligent visual surface defect detection
Advanced Engineering Informatics, 2023Chuang Sun, Xuefeng Chen, Ruqiang Yan
exaly
A small sample nonstandard gear surface defect detection method
Measurement: Journal of the International Measurement Confederation, 2023Fangyuan Zhou, Yongsheng Chao
exaly
Defect transformer: An efficient hybrid transformer architecture for surface defect detection
Measurement: Journal of the International Measurement Confederation, 2023Guili Xu, Junpu Wang, Fuju Yan
exaly
A novel MAS-GAN-based data synthesis method for object surface defect detection
Neurocomputing, 2022Dong Pan, Zhaohui Jiang, Hongbin Zhang
exaly