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Audio-Visual Event (AVE) Dataset

Dataset for audio-visual video understanding research

Audio-Visual Event (AVE) Dataset

We introduce a novel problem of audio-visual event localization in unconstrained videos. We define an audio-visual event as an event that is both visible and audible in a video segment. We collect an Audio-Visual Event (AVE) dataset to systemically investigate three temporal localization tasks: supervised and weakly-supervised audio-visual event localization, and cross-modality localization.Audio-Visual Event (AVE) dataset contains 4143 videos covering 28 event categories and videos in AVE are temporally labeled with audio-visual event boundaries.

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University of Rochester
https://www.rochester.edu
Task
Event Detection
Annotation Types
Bounding Boxes
4143
Items
28
Classes
4143
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
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