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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If you are reading this in 2025 or later, clicking on a random monsterhuntergenerationsultimatenspromslab link is like poking a honey badger with a stick – eventually, you will get hurt.
The Soaratorium Research Lab is a pivotal hub for progression in on the Nintendo Switch. Often referred to by players seeking "NS prompts" or "lab links," this facility unlocks essential quality-of-life upgrades, including item box expansions and the gear for the legendary collaboration with The Legend of Zelda . Unlocking the Soaratorium Research Lab
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.
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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.