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.
The star of the show is the texture on top.
Brazilian soccer superstar Neymar Jr. is known for his exceptional skills on the field, but his hairstyle has also been a topic of conversation among fans and fashion enthusiasts alike. One of his most iconic and sought-after hairstyles is the curly Neymar haircut, which has become a sensation worldwide.
The star of the show is the texture on top.
Brazilian soccer superstar Neymar Jr. is known for his exceptional skills on the field, but his hairstyle has also been a topic of conversation among fans and fashion enthusiasts alike. One of his most iconic and sought-after hairstyles is the curly Neymar haircut, which has become a sensation worldwide.
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.
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3. Can we train on test data without labels (e.g. transductive)?
No.
The star of the show is the texture on top
4. Can we use semantic class label information?
Yes, for the supervised track.
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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.