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News Wire / technology

New AI Method Improves Video Reasoning

Modernity/arxiv 2h1h Impact 5
Researchers have developed a method called 'Divide and Conquer' for reliable multi-view evidential learning in deepfake detection. The technique aims to address the evolution of generative models that produce near-perfect deepfakes.

Topics

deepfakes AI machine learning

Developing

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Sources · 7 independent

Modernity/arxiv

“Divide and Conquer: Reliable Multi-View Evidential Learning for Deepfake Detection. Authors: Xiaolu Kang, Zhongyuan Wang, Jikang Cheng, Baojin Huang, Zhanhe Lei, Gang Wu, Qin Zou, Qian Wang Abstract: With the evolution of generative models, deepfakes have achieved near-perfect seman...”

Modernity/arxiv

“Paving the Way for Point Cloud Video Representation Learning Using A PDE Model. Authors: Zhuoxu Huang, Zhenkun Fan, Jungong Han, Josef Kittler Abstract: Investigating spatial-temporal correlations, specifically how spatial points vary over time, is crucial for understanding poin...”

Modernity/arxiv

“Learning Chaotic Dynamics through Second-Order Geometric Supervision. Authors: Shinhoo Kang, Hai V. Nguyen, Tan Bui-Thanh Abstract: Learning chaotic dynamical systems from data requires more than short-term predictive accuracy: the learned model must preserve the attra...”

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