Action Anticipation with Goal Consistency

TL;DR

This paper introduces a novel approach for short-term action anticipation by integrating goal prediction and a consistency loss, achieving state-of-the-art results on large-scale datasets.

Contribution

It presents a new model that incorporates high-level goal prediction with a consistency loss to improve action anticipation accuracy.

Findings

Achieves state-of-the-art results on Assembly101 and COIN datasets.

Demonstrates the effectiveness of goal consistency in action anticipation.

Improves prediction accuracy by leveraging high-level intent information.

Abstract

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.