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.
If you are looking to curate your own experience, these matches are essential viewing:
(Dramatic, physical, and emotional).
The most shocking semi-final in World Cup history.
¿Cuál fue tu momento favorito de este Mundial? 👇 Comenta abajo si todavía te duele el "No era penal" o si celebraste el título alemán. 🇩🇪🇦🇷 mundial 2014 partidos completos exclusive
La gran final en el emblemático Estadio Maracaná fue un duelo táctico de alta tensión. Con Messi buscando la gloria eterna y Alemania mostrando su poderío teutón, el partido completo ofrece 120 minutos de dramatismo absoluto que culminaron con el agónico gol de Mario Götze en la prórroga. El Vuelo de Van Persie: España 1 - 5 Países Bajos
hosts BBC World Service radio broadcasts of key matches like the Final. list of links for a specific team's path through the 2014 tournament?
This article dives into the highlights of that legendary tournament and explores why accessing full match replays—exclusively—is the ultimate way to enjoy the 2014 World Cup today. Why the 2014 World Cup Remains Legendary If you are looking to curate your own
Si estás planeando un maratón de fútbol vintage, estos son los encuentros que requieren un visionado completo, sin cortes ni ediciones: 1. España 1 - 5 Holanda (Fase de Grupos)
o el dominio alemán? ¡No busques más! Tenemos acceso exclusivo a todos los partidos completos de la Copa Mundial de la FIFA Brasil 2014™. 🌟
RTVE Play suele habilitar partidos históricos de la selección española. 👇 Comenta abajo si todavía te duele el
FIFA's official YouTube channel maintains a #WorldCupAtHome playlist featuring iconic 2014 full matches , such as the historic 7-1 semi-final. ⭐ Essential Matches to Revisit
The 2014 World Cup was a golden moment in football history. By accessing content, you aren't just watching a match; you are reliving the emotions of a nation, the tactical genius of top managers, and the peak performance of legends like Thomas Müller, James Rodríguez, and Lionel Messi. Whether it is to analyze the tactics or simply to feel the thrill of that final whistle in Rio, full-match replays are the ultimate nostalgia trip for any football fan.
Before we talk about where , let’s talk about why . The 2014 World Cup was a narrative masterpiece:
La Copa Mundial de la FIFA Brasil 2014 quedó grabada en la memoria colectiva como uno de los torneos más vibrantes de la era moderna. Con un promedio de y momentos que desafiaron toda lógica deportiva, el deseo de revivir estos encuentros en su totalidad sigue vigente. Afortunadamente, hoy es posible acceder a la biblioteca de Mundial 2014 partidos completos exclusive a través de plataformas oficiales. Dónde ver los Partidos Completos del Mundial 2014
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.