AI RESEARCH
ActivityForensics: A Comprehensive Benchmark for Localizing Manipulated Activity in Videos
arXiv CS.CV
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ArXi:2604.03819v1 Announce Type: new Temporal forgery localization aims to temporally identify manipulated segments in videos. Most existing benchmarks focus on appearance-level forgeries, such as face swapping and object removal. However, recent advances in video generation have driven the emergence of activity-level forgeries that modify human actions to distort event semantics, resulting in highly deceptive forgeries that critically undermine media authenticity and public trust. To overcome this issue, we