arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2005.00214cs.CVcs.LGeess.IV

The AVA-Kinetics Localized Human Actions Video Dataset

DeepMind(深度思维);Google Research(谷歌研究院);Citadel(城堡公司);VGG, Oxford(牛津大学视觉几何组)

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

英文摘要:

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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