9 datasets found

Weakly-supervised temporal action localization aims to identify and localize the action instances in the untrimmed videos with only video-level action labels.

This paper proposes a method for temporal action localization using single-frame supervision. The authors use a unified system called SF-Net to predict actionness scores and...

Enriching local and global contexts for temporal action localization

Video self-stitching graph network for temporal action localization

Temporal action localization is a task to localize the start and end timestamps of action instances and recognize their categories. In recent years, many works put effort into...

Temporal action localization is an important task of computer vision. Though many methods have been proposed, it still remains an open question how to predict the temporal...

Temporal Action Localization (TAL) in few-shot learning. Our work addresses the inherent limitations of conventional single-prompt learning methods that often lead to...

Temporal action localization (TAL) is a prevailing task due to its great application potential. Existing works in this field mainly suffer from two weaknesses: (1) They often...

The dataset is used for temporal action localization in untrimmed videos.