id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
brj-22592	Xie, Yonghua; Ling , Jiaxin	Wood Defect Classification Based on Lightweight Convolutional Neural Networks	2023	18	.pdf	application/pdf	5877	309	51	The structure block diagram of RegNet network is shown in Fig. Loss function and accuracy of networks (a) Loss function and accuracy of GhostRegNet +NAM network (b) Loss function and accuracy of RegNet network (c) Loss function and accuracy of RegNet+SE network (d) Loss function and accuracy of RegNet+ECA network (1) RegNet network realized wood defect classification.	cache/brj-22592.pdf	txt/brj-22592.txt
