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2S-DGM4: A Two-Stage Framework for Detecting and Grounding Multi-Modal Media Manipulation |
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| 其它 | Detecting and grounding multi-modal media manipulation (DGM4) aims to identify the authenticity of media content in the form of image-text pairs, and locate forgery contents including text tokens or image regions. Existing methods adopt joint optimization frameworks to train multiple dedicated heads for different sub-tasks. This paradigm is prone to yielding models with insufficient learning regarding manipulation traces. In this paper, we propose a two-stage learning framework, named 2S-DGM4, exploiting correlations between manipulation detection and grounding for debunking manipulation content. It introduces modality-specific manipulation types into the subsequent manipulation grounding, and naturally conducts the mutual agreement among various sub-tasks. |
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(2025-6-4)