Videodesifakesnet 2021 !!hot!! 〈Top – 2027〉

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In a paper presented at the 2021 Web Conference, researchers introduced the . Unlike many specialized detectors, CLRNet was designed to be a generalist. Its goal was to detect multiple types of deepfake attacks, including those from unknown generation methods. By exploring both spatial (pixel-level) and temporal (frame-to-frame) information using a unique model training strategy, CLRNet proved remarkably robust. It achieved a 93.86% detection accuracy on high-quality "in-the-wild" deepfake videos, outperforming existing state-of-the-art defense methods by a considerable margin. CLRNet perfectly embodies the "one detector to rule them all" philosophy. Sites like this often go offline due to