Abstract:Egocentric early action prediction aims to recognize actions from the first-person view by only observing the partial video segment, which is challenging due to the limited context information of the partial video. In this paper, to tackle the egocentric early action prediction problem, we propose a novel multi-modal adversarial knowledge distillation framework. Particularly, our approach involves a teacher network to learn the enhanced representation of the partial video by considering the future unobserved v… Show more
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