id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-12144	Bai, Liang; Ding, Xuewen; Chang, Limei	Remote Sensing Target Detection Algorithm based on CBAM-YOLOv5	2023	4	.pdf	application/pdf	2391	133	53	Therefore, the convolutional attention CBAM structure is introduced into the C3 module to enhance the feature extraction capability and improve the problem of small target feature maps containing less information. With the rapid development of remote sensing satellite technology and image processing technology, the number of highly informative and high- resolution remote sensing image data is increasing day by day, making remote sensing target detection become a research hotspot in the field of remote sensing, and has been widely used in military security, rescue and search and other aspects.	cache/fcis-12144.pdf	txt/fcis-12144.txt