OpenGVLab / OpenGVLab/InternVideo
Questions About InternVideo2clip Training Data and Fine-Tuning Requirements
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Description
Thank you for your work! I have a question:
In the paper, it is stated: "We also learn a CLIP-style InternVideo2 indicated by InternVideo2clip. It is post-pretrained from InternVideo2s2 by only preserving video and text encoders and contrastive loss."
May I ask what training dataset was used for InternVideo2clip? Does it include any Chinese data? Approximately how much data would be required to fine-tune it effectively?
I noticed that only the attnpool of the vision encoder has been released in the official weights. https://huggingface.co/OpenGVLab/InternVideo2-Stage2_1B-224p-f4
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Research direction
Start with the InternVideo2 paper and the linked InternVideo2-Stage2_1B-224p-f4 weights page. Determine whether the project provides the InternVideo2clip training dataset, Chinese-data information, and fine-tuning guidance; document only details confirmed by the maintainers or project materials.
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Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100