Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models (2024.acl-long)
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| Challenge: | a surge of deep learning applications for video understanding have led to major advancements in video-related tasks. |
| Approach: | They propose a multimodal video-based conversation model that merges a video-adapted visual encoder with an LLM and a dataset that is easily scalable and robust to label noise. |
| Outcome: | The proposed model can understand and generate detailed conversations about videos. |
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