The goal of the Kinetics dataset is to help the computer vision and machine learning communities advance models for video understanding. Given this large human action classification dataset, it may be possible to learn powerful video representations that transfer to different video tasks.

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Casting Xxx E66 Rebecca

I'm assuming you're referring to a casting call for a film or TV show titled "XXX E66" featuring Rebecca. Since I don't have more specific information about the project, I'll provide a general guide on how to prepare for a casting call.

FAQ

1. Possible to use ImageNet checkpoints?
We allow finetuning from public ImageNet checkpoints for the supervised track -- but a link to the specific checkpoint should be provided with each submission.

2. Possible to use optical flow?
Flow can be used as long as not trained on external datasets, except if they are synthetic. casting xxx e66 rebecca

3. Can we train on test data without labels (e.g. transductive)?
No. I'm assuming you're referring to a casting call

4. Can we use semantic class label information?
Yes, for the supervised track. casting xxx e66 rebecca

5. Will there be special tracks for methods using fewer FLOPs / small models or just RGB vs RGB+Audio in the self-supervised track?
We will ask participants to provide the total number of model parameters and the modalities used and plan to create special mentions for those doing well in each setting, but not specific tracks.