Comments (2)
Nothing comes "easily" when Kinetics is involved π
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.
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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.
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Related Issues (17)
- how to prepare kinetics400 dataset to run your code? HOT 1
- Thermal diagram of key frame HOT 1
- Unable to load weights of the 'VIT_B_VTN' model HOT 1
- VTN not converging on UCF101 HOT 2
- Error with Detectron2 when using run_net.py HOT 1
- VTN input example HOT 4
- How to use Resnet as backbone? HOT 2
- How to visualize the cls token in VTN ? HOT 2
- Visualization: how effective is a PART of frames on decision making HOT 7
- size of checkpoint file HOT 1
- Have you preprocessed the kinetics dataset? HOT 1
- Where is the codeοΌ
- VTN attention window HOT 2
- Position IDs in VTN HOT 1
- Reproducing top 1 accuracy in Figure 4 HOT 6
- How to reproduce result in live camera feed without saving as video HOT 2
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from slowfast.