Liwan Dang

Realigning Confidence with Temporal Saliency Information for Point-Level Weakly-Supervised Temporal Action Localization

Point-level weakly-supervised temporal action localization (P-TAL) aims to localize action instances in untrimmed videos through the use of single-point annotations in each instance. Existing methods predict the class activation sequences without any boundary information and the unreliable sequences…