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 Kinetics-700-2020 dataset will be used for this challenge. Kinetics-700-2020 is a large-scale, high-quality dataset of YouTube video URLs which include a diverse range of human focused actions. The aim of the Kinetics dataset is to help the machine learning community create more advanced models for video understanding. It is an approximate super-set of both Kinetics-400, released in 2017, Kinetics-600, released in 2018 and Kinetics-700, released in 2019.
The dataset consists of approximately 650,000 video clips, and covers 700 human action classes with at least 700 video clips for each action class. Each clip lasts around 10 seconds and is labeled with a single class. All of the clips have been through multiple rounds of human annotation, and each is taken from a unique YouTube video. The actions cover a broad range of classes including human-object interactions such as playing instruments, as well as human-human interactions such as shaking hands and hugging.
More information about how to download the Kinetics dataset is available here.
To make the event even more special, every purchase made during the Tsunade Xmas Sale Unlocked Exclusive comes with a chance to win mystery rewards. These bonus gifts range from signed art prints to early access codes for upcoming releases. The festive spirit is truly alive as the village transforms into a winter wonderland of deals and excitement.
Tsunade Xmas Sale Unlocked Exclusive The holiday season has arrived in the Hidden Leaf Village and the legendary Sannin herself is spearheading the most anticipated event of the year. The Tsunade Xmas Sale Unlocked Exclusive is finally live, offering fans and collectors a once-in-a-lifetime opportunity to secure rare items and legendary gear. Whether you are looking to bolster your shinobi arsenal or find the perfect gift for a fellow fan, this festive event is packed with surprises that you cannot afford to miss. tsunade xmas sale unlocked exclusive
Don't let this opportunity slip through your fingers like a bad hand at the casino. The sale is only active for a limited time during the holiday season. Head over to the official storefront now to see what Tsunade has unlocked for you. Celebrate the holidays with the strength and elegance of the Fifth Hokage and make this winter one to remember. If you are ready to dive in, let me know: Is there a specific you are sticking to? To make the event even more special, every
The centerpiece of this holiday celebration is the unlocking of the Fifth Hokage's private vault. For the first time ever, Tsunade has authorized the release of exclusive merchandise that was previously unavailable to the public. This includes high-fidelity statues, limited-edition apparel featuring the iconic "Gambling" kanji, and digital collectibles that showcase the Slug Queen in her most powerful forms. These items are strictly limited in number, making them the ultimate prize for any serious enthusiast. Tsunade Xmas Sale Unlocked Exclusive The holiday season
Beyond the physical collectibles, the sale features massive discounts on a wide range of fan favorites. From intricately designed jewelry inspired by the First Hokage’s necklace to high-quality cosplay sets that allow you to step into the boots of the legendary medic, the price cuts are as impactful as a Heavenly Foot of Pain. This is the ideal time to complete your collection or start a new one without breaking your ryo budget.
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.
3. Can we train on test data without labels (e.g. transductive)?
No.
4. Can we use semantic class label information?
Yes, for the supervised track.
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.