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.
: Fans frequently praise the animation studio for maintaining a high tier of artistic fidelity that closely mirrors Gorō Nori's original manga artwork. Viewing and Safety Recommendations
The adaptation of this series is often noted for its high , specifically regarding character design and fluid animation. Unlike many entries in the genre that rely on static frames, this series emphasizes character expression and physical chemistry. The distinct personalities of the three girls provide a variety of archetypes, ensuring that the narrative remains engaging across its multiple segments. Cultural Context Video Title- Imaizumin Chi Wa Douyara 1-4 Full ...
For those unfamiliar with the series, "Imaizumin Chi Wa Douyara" (also known as "The Imai Family's Situation") is a Japanese manga and anime series that revolves around the daily life of the Imai family. The story is a heartwarming and humorous portrayal of the family's experiences, exploring themes of love, relationships, and personal growth. : Fans frequently praise the animation studio for
The first episode sets the stage for the series, introducing us to the Imai family and their quirky dynamics. We meet the main characters, including the parents, Takashi and Maki, and their three children, Shinsuke, Akira, and Nao. The episode focuses on the family's daily routine, showcasing their humorous interactions and affectionate relationships. The distinct personalities of the three girls provide
If you want to know more about this franchise, tell me if you are looking for: The of the manga. Details on the sequel series ( Deep ). Information regarding the creator Gorou Nori . Share public link
: Introduces Imaizumi's quiet lifestyle and the sudden, chaotic takeover of his apartment by the gyarus.
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.