Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization

@article{Huang2021ForegroundActionCN,
  title={Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization},
  author={Linjiang Huang and Liang Wang and Hongsheng Li},
  journal={2021 IEEE/CVF International Conference on Computer Vision (ICCV)},
  year={2021},
  pages={7982-7991}
}
As a challenging task of high-level video understanding, weakly supervised temporal action localization has been attracting increasing attention. With only video annotations, most existing methods seek to handle this task with a localization-by-classification framework, which generally adopts a selector to select snippets of high probabilities of actions or namely the foreground. Nevertheless, the existing foreground selection strategies have a major limitation of only considering the… 

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