Before revision:   In the first stage, we use the FCN to predict the potential regions of the table row (column) separators, so as to obtain the bounding boxes of the basic grids in the table.
After revision:  Our model takes table images as input and can correctly recognize the structure of tables, whether they are simple or a complex tables. SEM is mainly composed of three parts, splitter, embedder and merger. In the first stage, we use the FCN to predict the potential regions of the table row (column) separators, so as to obtain the bounding boxes of the basic grids in the table.