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Apr 20, 2021 · In this paper, we propose a two-stream method by analyzing the frame-level and temporality-level of compressed Deepfake videos. Since the video ...
In this paper, we propose a two-stream method by analyzing the frame-level and temporality-level of compressed Deepfake videos. Since the video compression ...
A two-stream method by analyzing the frame-level and temporality-level of compressed Deepfake videos to extract temporal correlation features and performs ...
In this paper, we propose a two-stream method by analyzing the frame-level and temporality-level of compressed Deepfake videos. Since the video compression ...
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Hu, Juan,et al."Detecting Compressed Deepfake Videos in Social Networks Using Frame-Temporality Two-Stream Convolutional Network".IEEE TRANSACTIONS ON CIRCUITS ...
Jan 14, 2024 · et al. Detecting compressed deepfake videos in social networks using frame-temporality two-stream convolutional network. IEEE Trans. Circuits ...
... In Ref. [45] , Zhao et al.propose to use a two-stream convolutional neural network for deepfake video detection. The first stream detects semantic anomalies ...
Missing: Temporality | Show results with:Temporality
Sep 13, 2023 · In this paper, a novel spatiotemporal trident network (STN) is proposed to detect both spatial and temporal inconsistencies of Deepfake videos.
Apr 28, 2024 · Detecting compressed deepfake videos in social networks using frame-temporality two-stream convo- lutional network. IEEE Transactions on ...
Squeeze-and-excitation networks. J. Hu et al. Detecting compressed deepfake videos in social networks using frame-temporality two-stream convolutional network ...