Multi-Granularity Generator for Temporal Action Proposal

CVPR 2019 Yuan Liu Lin Ma Yifeng Zhang Wei Liu Shih-Fu Chang

Temporal action proposal generation is an important task, aiming to localize the video segments containing human actions in an untrimmed video. In this paper, we propose a multi-granularity generator (MGG) to perform the temporal action proposal from different granularity perspectives, relying on the video visual features equipped with the position embedding information... (read more)

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