id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-14944	Long, Yang; Jia, Yingrui	Steel Surface Defect Detection Method Based on Improved YOLOv8	2023	7	.pdf	application/pdf	4516	226	51	Abstract: This research aims to improve the accuracy and efficiency of steel surface defect detection and address the current insufficient algorithm performance in steel defect detection, especially the challenges in multi-scale feature extraction and parameter efficiency. Although the above improved method has achieved better results in steel surface defect detection, the performance of the network model is still to be improved, and the number of parameters and computational volume of the model are relatively large, which is not easy to be deployed in embedded and other devices.	cache/ajst-14944.pdf	txt/ajst-14944.txt