Ego-Only: Egocentric Action Detection without Exocentric Transferring

Understand

We present Ego-Only, the first approach that enables state-of-the-art action detection on egocentric (first-person) videos without any form of exocentric (third-person) transferring.

• Despite the content and appearance gap separating the two domains, large-scale exocentric transferring has been the default choice for egocentric action detection.
• This is because prior works found that egocentric models are difficult to train from scratch and that transferring from exocentric representations leads to improved accuracy.
• However, in this paper, we revisit this common belief.