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Hi @LukasHedegaard,
Thank you for your interest in our work.
The models described in our paper were trained using our internal codebase, and we only trained the main ViT-B-VTN with the SlowFast repository in order to share it with the community. So the 1-layer ViT-B-VTN is not compatible with this version of the code.
If you have the Kinetics-400 dataset, you can easily modify the architecture and train this model using the code we published here.
Nothing comes "easily" when Kinetics is involved 😊
From a reproducibility standpoint, it would be great if you ever decide to open source that internal codebase as well.
Let me know if you ever decide to do so.
Thanks for open-sourcing your work!
Do you still have the model weights for the 1-layer ViT-B-VTN lying around, and would you be willing to add them to the MODEL_ZOO?
It would be greatly appreciated 🙏
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