Self‑Supervised Video Copy Localization with Regional Token Representation
The article presents a self‑supervised framework that uses a regional token structure within a Vision Transformer to accurately locate video plagiarism segments, dramatically reducing annotation costs and achieving state‑of‑the‑art performance without manual labeling, while also highlighting its real‑world deployment for copyright protection.