DEEP NETWORK STRUCTURE AND DEEP LEARNING-BASED IMAGE RECOGNITION SYSTEM

摘要

A deep learning-based image recognition system according to an embodiment of the present invention comprises: a first network including an input image receiving unit for receiving an input image including an object, a first extracting unit for extracting low-level feature information representing a low-level feature corresponding to the input image, a second extracting unit for extracting middle-level feature information representing a middle-level feature corresponding to the low-level feature information, and a third extracting unit for extracting high-level feature information representing a high-level feature corresponding to the middle-level feature information; a second network including a fourth extraction unit for extracting middle-level feature information representing a middle-level feature corresponding to the low-level feature information extracted by the first extraction unit and a fifth extracting unit for extracting high-level feature information representing a high-level feature corresponding to the middle-level feature information extracted by the fourth extraction unit; and a recognition unit for recognizing an element corresponding to the object using the feature information extracted by the first network and the feature information extracted by the second network.;COPYRIGHT KIPO 2019