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.

AIcopyright protectionself-supervised learning

0 likes · 5 min read

Self‑Supervised Video Copy Localization with Regional Token Representation

AntTech

Dec 19, 2022 · Artificial Intelligence

TransVCL: Attention‑Enhanced Video Copy Localization Network with Flexible Supervision

TransVCL introduces an end‑to‑end attention‑enhanced video copy localization network that leverages a custom Transformer, correlation‑Softmax similarity matrix, and temporal alignment module, combined with a semi‑supervised learning framework, achieving state‑of‑the‑art performance on VCSL and VCDB benchmarks.

AISemi-supervised LearningTransformer

0 likes · 13 min read

TransVCL: Attention‑Enhanced Video Copy Localization Network with Flexible Supervision