Before revision:  We extend it to a multi-task model that learns semantic and motion instance segmentation in a computationally efficient manner. Our model is based on sharing a prototype generation network between the two tasks and learning separate prototype coefficients per task .
After revision:  We extend it to a multi-task learning approach that learns an extra class agnostic instance segmentation head through sharing the prototype generation network between the two tasks and learning separate prototype coefficients per task .