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2018

A Short Note about Kinetics-600

Carreira, Joao, Noland, Eric, Banki-Horvath, Andras et al.

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We describe an extension of the DeepMind Kinetics human action dataset from 400 classes, each with at least 400 video clips, to 600 classes, each with at least 600 video clips.

In order to scale up the dataset we changed the data collection process so it uses multiple queries per class, with some of them in a language other than english -- portuguese.
This paper details the changes between the two versions of the dataset and includes a comprehensive set of statistics of the new version as well as baseline results using the I3D neural network architecture.
The paper is a companion to the release of the ground truth labels for the public test set.

A Short Note about Kinetics-600 · Around

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HMDB: a large video database for human motion recognition
H. Kuehne, H. Jhuang, E. Garrote, T. Poggio, and T. Serre · 2011
Earlier work this paper cites.
UCF101: a dataset of 101 human actions classes from videos in the wild
Original
K. Soomro, A. R. Zamir, and M. Shah · 2012
Earlier work this paper cites.
Thumos challenge: Action recognition with a large number of classes, 2014
Y. Jiang, J. Liu, A. R. Zamir, G. Toderici, I. Laptev, M. Shah, and R. Sukthankar · 2014
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