Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network

Jialin Gao
Jialin Gao
zhixiang shi
zhixiang shi
Guanshuo Wang
Guanshuo Wang
jiani li
jiani li
Yufeng Yuan
Yufeng Yuan
Xi Zhou
Xi Zhou

AAAI, pp. 10810-10817, 2020.

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Abstract:

Accurate temporal action proposals play an important role in detecting actions from untrimmed videos. The existing approaches have difficulties in capturing global contextual information and simultaneously localizing actions with different durations. To this end, we propose a Relation-aware pyramid Network (RapNet) to generate highly ac...More

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