id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-4122	Hao, Shougang; Shao, Liming; Wang, Sibo	A Faster RCNN Airport Pavement Crack Detection Method Based on Attention Mechanism	2023	4	.pdf	application/pdf	2238	123	51	In this context, Faster RCNN network was used for tunnel crack detection, the backbone network of Faster RCNN was modified, the lightweight network MobileNetV2 was used to improve the network training speed, and CBAM attention mechanism was added to improve the feature extraction ability of the model. The structure of Faster RCNN As can be seen from Figure 1, Faster RCNN network can be divided into four parts: (1) Input images that need to extract features through the backbone feature extraction network.	cache/ajst-4122.pdf	txt/ajst-4122.txt