Title: FCR: Flow Chart Recognition Network for Program Synthesis. Abstract:   Program synthesis is the task to automatically generate programs   based on user specification.   In this paper, we present a framework that synthesizes programs from images of flow chart that serve   as accurate and intuitive specifications. In order doing so, we propose a deep neural network called FCR that recognizes   graph structure from its image.    FCR is trained end-to-end, which can predict edges and nodes    of the flow chart simultaneously.   Experiments show that the accuracy to synthesize a program is 66.4%, and the accuracy to recognize edges and nodes are 94.1% and  67.9%, respectively. On average, it takes about 60 milliseconds to synthesize a program. 
