BRZ911/ViTCoT
ViTCoT: Video-Text Interleaved Chain-of-Thought for Boosting Video Understanding in Large Language Models ๐ท This is the code dataset for the paper: ViTCoT: Video-Text Interleaved Chain-of-Thought for Boosting Video Understanding in Large Language Models. ACM MM 2024. Preparation steps: environment installation (1) Environment installation command: python pip install -r requirements.txt (2) Please fill in the API information in the file:โฆ See the full description on the dataset page: https://huggingface.co/datasets/BRZ911/ViTCoT.
| Author / organization | BRZ911 |
|---|---|
| Downloads | 136 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 13 July 2025 |
| Last updated at source | 20 July 2025 |
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