Before revision:  In addition, we propose to use knowledge distillation where  single-task models teach a multi-task model , helping the multi-task model  surpass its single-task teachers . Finally, we provide fundamental tasks API and a visualization tool to make users easier to use and view the processing results directly.
After revision:  In addition, we propose to use knowledge distillation where single-task models teach a multi-task model is further introduced to encourage the multi-task model surpass its single-task teachers . Finally, we provide fundamental tasks API and a visualization tool to make users easier to use and view the processing results directly.