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.
refers to a specific distribution or version identifier (often used in the Nintendo Switch community) for the 16 Free DLCs Pack The Witcher 3: Wild Hunt
The Hearts of Stone DLC adds a significant amount of depth to the game's narrative, exploring themes of power, loyalty, and the consequences of war.
I can provide step-by-step instructions to get your game updated and running smoothly. AI responses may include mistakes. Learn more Share public link
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– A whimsical yet dark quest in Velen involving a village full of pigs and bandits.
The Hearts of Stone DLC is a narrative-driven expansion that adds a new questline to the game. The DLC takes place in a new region, Velen, where Geralt of Rivia must navigate a complex web of politics and morality. The DLC features:
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To understand this pack, it helps to break down the term "NSPUS16":
What (Atmosphere, etc.) and installer tool (DBI, Tinfoil) are you currently using? Which game region (US, EU, Asia) is your base game file?
The term refers to the specific title ID used for the Nintendo Switch version of The Witcher 3: Wild Hunt within the homebrew and custom firmware (CFW) community. An "NSP" is the file format used for Nintendo Switch games (similar to an .exe or .iso). refers to a specific distribution or version identifier
Undvik Armor Set: A heavy, Skellige-themed armor set perfect for cold environments.
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The NSPUS16 DLCs pack offers a number of benefits to players, including: Learn more Share public link is widely regarded
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.