Researchers from China Introduce Video-LLaVA: A Simple but Powerful Large Visual-Language Baseline Model

Researchers from Peking University, Peng Cheng Laboratory, Peking University Shenzhen Graduate School, and Sun Yat-sen University introduce the Large Vision-Language Model (LVLM) approach, Video-LLaVA, unifying visual representation into the language feature space. Unlike existing methods that encode images and videos separately, Video-LLaVA achieves a unified LVLM by addressing misalignment issues during projection. This simple yet […]

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