Weakly Supervised Action Segmentation

Weakly Supervised Action Segmentation (Transcript) is a sub-task in the field of computer vision that aims to temporally segment actions in videos using only high-level descriptions of action sequences, such as text transcripts. The goal of this task is to accurately identify and locate the start and end time points of various actions within a video without relying on large amounts of finely annotated data. Weakly supervised action segmentation can significantly reduce the cost of data annotation and enhance the generalization ability of models, making it valuable in applications such as video understanding, behavior analysis, and human-computer interaction.