id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
aiti-12682	Ying-Tung Hsiao; Jia-Shing Sheu; Hsu Ma	Efficient Object Detection and Intelligent Information Display Using YOLOv4-Tiny	2024	8	.pdf	application/pdf	3924	205	54	The lightweight YOLOv4-tiny model is modified by replacing convolutional modules with Fire modules to further reduce its parameters. Conclusions A modified YOLOv4-tiny architecture was developed by incorporating Fire and SPP modules to replace some CBL modules, greatly reducing the parameter count while maintaining competitive performance.	cache/aiti-12682.pdf	txt/aiti-12682.txt