  We consider the problem of amodal instance segmentation, the objective of
which is to predict the region encompassing both visible and occluded parts of
each object. Thus far, the lack of publicly available amodal segmentation
annotations has stymied the development of amodal segmentation methods. In this
paper, we sidestep this issue by relying solely on standard modal instance
segmentation annotations to train our model. The result is a new method for
amodal instance segmentation, which represents the first such method to the
best of our knowledge. We demonstrate the proposed method's effectiveness both
qualitatively and quantitatively.
