SketchThinker-R1: Towards Efficient Sketch-Style Reasoning in Large Multimodal Models
RUIYANG ZHANG · Dongzhan Zhou · Zhedong Zheng
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RUIYANG ZHANG · Dongzhan Zhou · Zhedong Zheng
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Recent advances in generative AI have significantly enhanced the realism of multimodal media manipulation, thereby posing substantial challenges to manipulation detection. Existing manipulation detection and grounding approaches predominantly focus on manipulation type classification under result...
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Existing facial forgery detection methods typically focus on binary classification or pixel-level localization, providing little semantic insight into the nature of the manipulation. To address this, we introduce Forgery Attribution Report Generation , a new multimodal task designed to provide po...
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Text-based person search faces inherent limitations due to data scarcity, driven by stringent privacy constraints and the high cost of manual annotation. To mitigate this, existing methods usually rely on a Pretrain-then-Finetune paradigm, where models are first pretrained on synthetic person-cap...
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