A Short Note on the Kinetics-700-2020 Human Action Dataset
arXiv:2010.10864
Abstract
We describe the 2020 edition of the DeepMind Kinetics human action dataset, which replenishes and extends the Kinetics-700 dataset. In this new version, there are at least 700 video clips from different YouTube videos for each of the 700 classes. This paper details the changes introduced for this new release of the dataset and includes a comprehensive set of statistics as well as baseline results using the I3D network.
References in corpus (5)
- The Kinetics Human Action Video Dataset
- A Short Note about Kinetics-600
- The AVA-Kinetics Localized Human Actions Video Dataset
- Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification
- Exploiting Spatial-Temporal Modelling and Multi-Modal Fusion for Human Action Recognition
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