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Furthermore, in this work, we unify visual representation into the language feature space to advance the foundational LLM towards a unified LVLM. As a result, we establish a simple but robust LVLM baseline, Video-LLaVA, which learns from a mixed dataset of images and videos, mutually enhancing each other. This aspect of Emnlp 2024 Video Llava Learning United Visual Github plays a vital role in practical applications.
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Key Takeaways About Emnlp 2024 Video Llava Learning United Visual Github
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Final Thoughts on Emnlp 2024 Video Llava Learning United Visual Github
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