Before revision:  We make use of the YOLACT model to solve the instance motion segmentationnetwork by feeding inflow and image as input and instance motion masks as output. We extend it to a multi-task model that learns semantic and motion instance segmentation in a computationally efficient manner.
After revision:  Our dataset provide extra class annotations which is crucial for studying class agnostic segmentation. We further propose an efficient multi-task model that learns semantic and motion instance segmentation in a computationally efficient manner.