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AIGC video detection based on the fusion of spatial-frequency-optical flow multimodal features
A multi-modal framework for AIGC video forgery detection tasks, named Cross-Attention based Video Forgery Detector (CrossAtt-VFD), based on joint multi-view analysis of content, and introduces a dual-branch architecture that simultaneously extracts spatial-frequency and optical-flow features.
Towards Efficient Multimodal and Multilingual Opinion Extraction for STI: A QLoRA-Based Fine-Tuning Approach
A multimodal core-opinion extraction framework in which visual evidence serves as a contextual anchor for textual judgment is proposed, providing a case-level value signal for downstream STI screening.