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Towards Generalizable Deepfake Video Detection with Thumbnail Layout and Graph Reasoning
March 18, 2024, 4:45 a.m. | Yuting Xu, Jian Liang, Lijun Sheng, Xiao-Yu Zhang
cs.CV updates on arXiv.org arxiv.org
Abstract: The deepfake threats to society and cybersecurity have provoked significant public apprehension, driving intensified efforts within the realm of deepfake video detection. Current video-level methods are mostly based on {3D CNNs} resulting in high computational demands, although have achieved good performance. This paper introduces an elegantly simple yet effective strategy named Thumbnail Layout (TALL), which transforms a video clip into a pre-defined layout to realize the preservation of spatial and temporal dependencies. This transformation process …
arxiv cs.cv deepfake deepfake video detection graph reasoning type video
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