  In this paper, we address the problem of short-term action anticipation,
i.e., we want to predict an upcoming action one second before it happens. We
propose to harness high-level intent information to anticipate actions that
will take place in the future. To this end, we incorporate an additional goal
prediction branch into our model and propose a consistency loss function that
encourages the anticipated actions to conform to the high-level goal pursued in
the video. In our experiments, we show the effectiveness of the proposed
approach and demonstrate that our method achieves state-of-the-art results on
two large-scale datasets: Assembly101 and COIN.
