Proceedings of the 2022 International Conference on Multimedia Retrieval 2022
DOI: 10.1145/3512527.3531364
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Self-Lifting: A Novel Framework for Unsupervised Voice-Face Association Learning

Abstract: Voice-face association learning (VFAL) aims to tap into the potential connections between voices and faces. Most studies currently address this problem in a supervised manner, which cannot exploit the wealth of unlabeled video data. To solve this problem, we propose an unsupervised learning framework: Self-Lifting (SL), which can use unlabeled video data for learning. This framework includes two iterative steps of "clustering" and "metric learning". In the first step, unlabeled video data is mapped into the fe… Show more

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Cited by 6 publications
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References 37 publications
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