Action Shuffling for Weakly Supervised Temporal Localization
Action Shuffling for Weakly Supervised Temporal Localization
Weakly supervised action localization is a challenging task with extensive applications, which aims to identify actions and the corresponding temporal intervals with only video-level annotations available. This paper analyzes the order-sensitive and location-insensitive properties of actions, and embodies them into a self-augmented learning framework to improve the weakly supervised action …