论文标题

Ava-Kinetics局部人类动作视频数据集

The AVA-Kinetics Localized Human Actions Video Dataset

论文作者

Li, Ang, Thotakuri, Meghana, Ross, David A., Carreira, João, Vostrikov, Alexander, Zisserman, Andrew

论文摘要

本文介绍了AVA-Kinetics局部的人类动作视频数据集。通过使用AVA注释协议从Kinetics-700数据集中注释视频来收集数据集,并使用这些新的AVA注释动力学剪辑来扩展原始AVA数据集。该数据集包含超过230k的剪辑,其中包括密钥框架中每个人的80个AVA动作类别。我们描述注释过程并提供有关新数据集的统计信息。我们还使用AVA-Kinetics数据集上的视频动作变压器网络进行了基线评估,证明了AVA测试集上的动作分类性能提高了。数据集可以从https://research.google.com/ava/下载

This paper describes the AVA-Kinetics localized human actions video dataset. The dataset is collected by annotating videos from the Kinetics-700 dataset using the AVA annotation protocol, and extending the original AVA dataset with these new AVA annotated Kinetics clips. The dataset contains over 230k clips annotated with the 80 AVA action classes for each of the humans in key-frames. We describe the annotation process and provide statistics about the new dataset. We also include a baseline evaluation using the Video Action Transformer Network on the AVA-Kinetics dataset, demonstrating improved performance for action classification on the AVA test set. The dataset can be downloaded from https://research.google.com/ava/

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