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University of International Business and Economics
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By mimicking human reasoning through instance-based analogy, RAMM significantly improves multimodal fake news detection, especially in data-scarce domains.
Existing video datasets fail to capture the complexity of human interactions in diverse scenes, but OmniHuman offers a new benchmark to train and evaluate models on more realistic human-centric video generation.
Existing forgery detection methods struggle with AI-generated CT images, but a new spatial-frequency detector achieves superior generalization across diverse generative models.