OpenGVLab / OpenGVLab/InternVideo
Request for finetuned InternVideo2-1B results on video retrieval benchmarks
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- Python
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Description
Hi, great work and thanks for releasing the code. In Table 10 of your InternVideo2 paper, you reported the results of finetuning video retrieval in both T2V and V2T on MSR-VTT, LSMDC, DiDeMo, MSVD, ActivityNet, and VATEX for the 6B model.
Could you please provide the results for the finetuned InternVideo2-1B model as well?
This would be very helpful for literature comparisons with models of similar size.
Thanks a lot
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Research direction
Start with Table 10 and identify how the reported finetuned InternVideo2-6B results were produced for T2V and V2T. Reproduce the same evaluation for the InternVideo2-1B model on MSR-VTT, LSMDC, DiDeMo, MSVD, ActivityNet, and VATEX; done means publishing comparable results.
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Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100