id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-30136	Huang, Dongxuan; Sun, Mingge; Ye, Sen; Chai, Jiaxuan	Improvement and Implementation of a Potato Recognition Algorithm Based on YOLOv8	2025	6	.pdf	application/pdf	3134	199	42	The improvements include: introducing DynamicConv in the backbone network to enhance model representation capability; replacing the C2f module in the backbone network with C2f_SAConv to strengthen feature extraction in object detection and segmentation tasks; incorporating Slim-neck in the Neck layer to reduce model parameters and floating-point operations; and adding an EMA attention mechanism to improve the model's focus on different potatoes. DynamicConv dynamically selects or combines different convolution kernels based on input samples, enabling the network structure to adaptively adjust its parameters according to varying input data.	cache/fcis-30136.pdf	txt/fcis-30136.txt