Long-term Action Anticipation: A Quick Survey

The ability to anticipate possible human actions in the distant future is of fundamental interest for a wide range of applications, including autonomous driving, surveillance, and human-robot interaction. Consequently, various methods have been presented for action anticipation in recent years, with deep learning-based approaches being particularly popular. In this work, we give a short overview of the recent advances of long-term action anticipation algorithms