Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection
A new method, Velocity Gated Patch Velocity Profiling (V-PVP), improves detection of AI-generated videos by replacing the standard global readout in video backbone models with a lightweight module that preserves local temporal artifacts. V-PVP achieves a 95.28 AUC on the AIGVDBench benchmark using a frozen backbone and adds only about 0.5 million parameters. The approach is plug-and-play and consistently boosts performance across various video backbones.
Why it matters: This work offers a practical and effective solution to enhance the detection of AI-generated videos, addressing a key challenge in deepfake detection.
Full story at: arXiv Computer Vision ↗