Weakly Supervised Action Segmentation Action

Weakly Supervised Action Segmentation (Action Set) is a crucial task in the field of computer vision, aiming to accurately segment actions in videos with only action sets provided as supervision and without temporal position information. This task involves training models using the set of actions that occur in videos, with the goal of enhancing the model's generalization capability on unannotated data and reducing reliance on large amounts of labeled data. Weakly supervised action segmentation holds significant value in applications such as video understanding, behavior analysis, and intelligent surveillance, effectively improving the intelligence and practicality of systems.