Towards Train-Test Consistency for Semi-supervised Temporal Action Localization

24 Oct 2019Xudong LinZheng ShouShih-Fu Chang

Recently, Weakly-supervised Temporal Action Localization (WTAL) has been densely studied but there is still a large gap between weakly-supervised models and fully-supervised models. It is practical and intuitive to annotate temporal boundaries of a few examples and utilize them to help WTAL models better detect actions... (read more)

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