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.

翻译：在本文中，我们研究了短期动作预测问题，即在一秒钟之前预测即将发生的动作。我们提出利用高层意图信息来预测未来将要发生的动作。为此，我们在模型中引入了一个额外的目标预测分支，并提出了一种一致性损失函数，该函数鼓励预测的动作与视频中追求的高层目标保持一致。通过实验，我们展示了所提出方法的有效性，并证明我们的方法在两个大规模数据集（Assembly101和COIN）上达到了最先进的性能。