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.
Directed by Frank Darabont, "Um Sonho de Liberdade" (1994) is a drama film based on the novella "Rita Hayworth and Shawshank Redemption" by Stephen King. The movie follows the story of Andy Dufresne (played by Tim Robbins), a banker who is wrongly convicted of murder and sentenced to life in Shawshank State Penitentiary. Despite the harsh realities of prison life, Andy forms an unlikely friendship with fellow inmate Red (played by Morgan Freeman), and finds a way to survive and ultimately escape.
Directed by Frank Darabont, "Um Sonho de Liberdade" (1994) is a drama film based on the novella "Rita Hayworth and Shawshank Redemption" by Stephen King. The movie follows the story of Andy Dufresne (played by Tim Robbins), a banker who is wrongly convicted of murder and sentenced to life in Shawshank State Penitentiary. Despite the harsh realities of prison life, Andy forms an unlikely friendship with fellow inmate Red (played by Morgan Freeman), and finds a way to survive and ultimately escape.
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.
um sonho de liberdade 4k updated
3. Can we train on test data without labels (e.g. transductive)?
No.
Directed by Frank Darabont, "Um Sonho de Liberdade"
4. Can we use semantic class label information?
Yes, for the supervised track.
Directed by Frank Darabont
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.