Repetitive Action Counting
3 papers with code • 1 benchmarks • 1 datasets
Repetitive action counting aims to count the number of repetitive actions in a video.
Most implemented papers
TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting
Existing methods focus on performing repetitive action counting in short videos, which is tough for dealing with longer videos in more realistic scenarios.
PoseRAC: Pose Saliency Transformer for Repetitive Action Counting
Moreover, we introduce a pose-level method, PoseRAC, which is based on this representation and achieves state-of-the-art performance on two new version datasets by using Pose Saliency Annotation to annotate salient poses for training.
Every Shot Counts: Using Exemplars for Repetition Counting in Videos
We propose an exemplar-based approach that discovers visual correspondence of video exemplars across repetitions within target videos.