Action Search: Learning to Search for Human Activities in Untrimmed Videos

arXiv: Computer Vision and Pattern Recognition, Volume abs/1706.04269, 2017.

Cited by: 3|Views25


Traditional approaches for action detection use trimmed data to learn sophisticated action detector models. Although these methods have achieved great success at detecting human actions, we argue that huge information is discarded when ignoring the process, through which this trimmed data is obtained. In this paper, we propose Action Sear...More



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