Action Segmentation

Action segmentation aims to automatically divide videos into temporally contiguous segments, each corresponding to a distinct action. Current research heavily utilizes transformer-based architectures, often incorporating techniques like attention mechanisms and efficient feature encoding to improve accuracy and reduce computational cost, particularly for long videos. This field is crucial for applications ranging from video understanding and human-robot interaction to automated analysis of animal behavior and surgical procedures, driving advancements in both algorithmic efficiency and the development of new datasets for evaluation.