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AVE.zip: videos in AVE dataset. One video may contain different audio-visual events, so the total number of videos is not 4143.
annotations.txt: annotations of AVE dataset. For each sample, you can find its event catergory, YouTube ID,
Quality (all good, means that it contains an AVE), start time of an audio-visual event, end
time of an audio-visual event.
train/val/test-Set.txt: training/validation/testing set used in our ECCV paper.
If you used our AVE dataset, please consider cite our paper:
@inproceedings{TianECCV2018,
title={Audio-Visual Event Localization in Unconstrained Videos},
author={Tian, Yapeng and Shi, Jing and Li, Bochen and Duan, Zhiyao and Xu, Chenliang},
editor="Ferrari, Vittorio and Hebert, Martial and Sminchisescu, Cristian and Weiss, Yair",
booktitle="Computer Vision -- ECCV 2018",
year="2018",
publisher="Springer",
} |