Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization
Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to localize actions from untrimmed long videos with only video-level category labels. Most previous methods ignore the incompleteness issue of Class Activation Sequences (CAS), suffering from trivial detection results. To tackle this issue, we propose a novel Adaptive Mutual Supervision (AMS) framework with two branches, …