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May, 2019
边缘化的平均注意力网络用于弱监督学习
Marginalized Average Attentional Network for Weakly-Supervised Learning
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Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung
TL;DR
提出了一种被称为马格林平均注意力网络(MAAN)的方法,其中采用了一种新的边缘化平均聚合(MAA)模块,并学习了一组潜在的判别概率,能够在视频中识别出密集和完整的动作区域。
Abstract
In
weakly-supervised temporal action localization
, previous works have failed to locate dense and integral regions for each entire action due to the overestimation of the most salient regions. To alleviate this issue, we propose a
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