New Automation Science Data Have Been Reported by Researchers at Huazhong University of Science and Technology (A Graph Guided Convolutional Neural Network for Surface Defect Recognition)

摘要

By a News Reporter-Staff News Editor at Network Daily News - Research findings on Science - Automation Science are discussed in a new report. According to news originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “Surface defect is a serious problem in real-world manufacturing system and it is important to use vision-based recognition to ensure the surface quality of products. Currently, due to the ability of automatic feature extraction, deep learning models, such as convolutional neural network (CNN), have been widely used in this area.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), Program for HUST Academic Frontier Youth Team.