Attention 機構を利用した出土銭貨の画像認識

抄録

Recently, AI technology called deep learning has been attracting attention. Deep learning is a kind of neural network. It is a method of machine learning using a hierarchical neural network with a multi-layer structure. Deep learning has shown great results in image recognition. In this study, we consider the classification of unearthed coins using deep learning. There are many types of unearthed coins to be excavated from a ruin. One of the most famous coins is Kanei-tsuho coins. There are many subdivisions of Kanei-tsuho coins. However, the classification of unearthed coins is even difficult task for numismatics experts. In this research, we use the attention mechanism in deep learning to perform image recognition of excavated coins. We verified whether the accuracy of image recognition is improved by using the attention mechanism.