Before revision:  We further propose an efficient multi-task learning approach that learns an extra class agnostic instance segmentation head through sharing the prototype generation network with the semantic head .
After revision:  We adapt YOLACT and implement a motion-based class agnostic instance segmentation model which would act as a baseline for the dataset. We also extend it to an efficient multi-task learning approach that learns an extra class agnostic instance segmentation head through sharing the prototype generation network with the semantic head .