TReViS: Temporal Repetition Structure Aware Video Synthesis for Self-supervised Repetitive Action Counting

arXiv:2609.24367 · cs.CV · Submitted 2026-09-21 · Read on arXiv

cs.CV

Submitted: 2026-09-21

Updated: 2026-09-21

Code: https://github.com/yfqi/TReViS

Terminology

• Generalization — 10× in this paper · explained in 13 episodes
• Robustness — 10× in this paper · explained in 5 episodes
• Embeddings — 8× in this paper · explained in 2 episodes
• Transformer — 8× in this paper · explained in 2 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Accuracy — 7× in this paper · explained in 1 episode
• Adaptation — 7× in this paper · explained in 1 episode
• Pseudo-labels — 7× in this paper · explained in 2 episodes
• Representation Learning — 5× in this paper · explained in 2 episodes
• Self-Supervised Learning — 5× in this paper · explained in 7 episodes
• Ablation study — 4× in this paper · explained in 1 episode
• Adam — 3× in this paper · explained in 2 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Decoupling — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Mean Absolute Error — 2× in this paper
• Model-Agnostic — 2× in this paper · explained in 2 episodes
• Temporal Reasoning — 2× in this paper · explained in 2 episodes
• Temporal Self-Similarity Matrix — 2× in this paper
• APEX — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Off-By-One Accuracy — 1× in this paper
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Self-Supervised Learning (SSL) — 1× in this paper · explained in 4 episodes
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Winter Conference on Applications of Computer Vision — 1× in this paper

Sources

• IVAC-P2L: Leveraging Irregular Repetition Priors for Improving Video Action Counting
• VideoMix: Rethinking Data Augmentation for Video Classification

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