Semi-supervised learning of facial attributes in video
In this work we investigate a weakly-supervised approach to learning facial attributes of humans in video. Given a small set of images labeled with attributes and a much larger unlabeled set of video tracks, we train a classifier to recognize these attributes in video data. We make two contributions...
| Auteurs principaux: | , , , |
|---|---|
| Format: | Conference item |
| Langue: | English |
| Publié: |
Springer
2013
|