11 datasets found

Enriching local and global contexts for temporal action localization

Video self-stitching graph network for temporal action localization

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...

The ActivityNet1.2 dataset is a large-scale benchmark for action recognition and localization in videos.

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 is a recently-emerging task, aiming to localize video segments from untrimmed videos that contain specific actions.

Temporal action proposal generation is an important task, akin to object proposals, temporal action proposals are intended to capture “clips” or temporal intervals in videos...

Weakly-Supervised Temporal Action Localization (WSTAL) aims to localize actions in untrimmed videos with only video-level labels.

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...

Temporal action localization (TAL) is a challenging task in video understanding that aims to identify and localize actions within a video sequence.

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