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.

For information related to this task, please contact:

Dataset

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.

Tempo 1 Methode De Francais Free Download Audio [repack] Link

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Tempo 1 is a comprehensive French language learning method designed for beginners. The method is divided into several levels, with Tempo 1 being the first level. It aims to help learners develop a solid foundation in French, covering essential grammar, vocabulary, and pronunciation.

Tempo, 1 : Méthode de français (Cahier d'activités) : Berard tempo 1 methode de francais free download audio

and Activity Books in PDF format. While mainly for text, these documents often contain links or references to where the audio can be retrieved. Key Features of the Tempo 1 Method

Conclusion: Your Action Plan

You want to master French using the excellent Tempo 1 method. You need the audio. Here is your roadmap: Searching for Tempo 1: Méthode de Français free

Saison: A popular modern successor that includes free audio downloads and an app.

Content: Focuses on vocabulary building, basic grammar, and listening comprehension through real-world scenarios. Shadowing (5 minutes): Play a dialogue

Shadowing (5 minutes): Play a dialogue. Listen once. Play it again, but speak at the same time as the native speaker, mimicking their intonation perfectly.
Dictation (10 minutes): Using the Cahier d’exercices audio, write down what you hear. Start with single words, then move to sentences.
Parroting (5 minutes): Pause after each sentence on the audio. Repeat out loud. Record yourself on your phone. Compare.

FAQ

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.