Adaptive Prototype Learning for Weakly-supervised Temporal Action Localization
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Weakly-supervised Temporal Action Localization (WTAL) aims to localize action instances with only video-level labels during training, where two primary issues are localization incompleteness and background interference. To relieve these two issues, recent meth... ...