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  1. ; ; ; ; (, IEEE International Conference on Big Data)
    null (Ed.)
    Humans understand videos from both the visual and audio aspects of the data. In this work, we present a self supervised cross modal representation approach for learning audio visual correspondence (AVC) for videos in the wild. After the learning stage, we explore retrieval in both cross modal and intra modal manner with the learned representations. We verify our experimental results on the VGGSound dataset and our approach achieves promising results. 
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    Accepted Manuscript Full Text Available