no code implementations • 7 Sep 2019 • Jingwen Fu, Xiaoyan Zhu, Yingbin Li
Automatic defect recognition is one of the research hotspots in steel production, but most of the current methods mainly extract features manually and use machine learning classifiers to recognize defects, which cannot tackle the situation, where there are few data available to train and confine to a certain scene.