Self-supervised learning of a facial attribute embedding from video
We propose a self-supervised framework for learning facial attributes by simply watching videos of a human face speaking, laughing, and moving over time. To perform this task, we introduce a network, Facial Attributes-Net (FAb-Net), that is trained to embed multiple frames from the same video face-t...
| Main Authors: | , , |
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| Format: | Conference item |
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British Machine Vision Association
2018
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