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.
Re-enacting or referencing specific humorous moments from famous films to engage with an audience's sense of nostalgia.
Understanding the origins of these references helps illustrate how classic movie moments continue to influence modern digital trends and influencer collaborations today. Jasmine Caro And Daisy Summers - Boats And Hoes...
Utilizing settings such as yachts, docks, or tropical beaches to recreate the "summer getaway" vibe. Jasmine Caro and Daisy Summers are individuals who
Jasmine Caro and Daisy Summers are individuals who have established presence within the digital media and entertainment space. When performers or influencers collaborate on themed content like a "Boats and Hoes" parody, they often lean into the luxury lifestyle aesthetic associated with the original film's comedic segments. This typically involves: Similarly, Daisy Summers has built a career through
Jasmine Caro is recognized for her distinct screen presence and has a significant following across various social platforms. Similarly, Daisy Summers has built a career through digital content creation. Collaborations between such personalities often gain traction due to the combined reach of their fanbases and the high production value of the media they produce.
Influencers often team up to cross-promote their brands, combining their unique styles to create high-energy content for their respective followers.
The phrase "Boats and Hoes" is a well-known pop culture reference originating from the 2008 comedy film Step Brothers , starring Will Ferrell and John C. Reilly. In the movie, the characters create a music video of the same name while on a luxury yacht, which has since become a popular meme and a frequent theme for parties and parody content.
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.