| 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", | |
| } |