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Detecting Smiles of Young Children via Deep Transfer Learning
2017
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
Smile detection is an interesting topic in computer vision and has received increasing attention in recent years. However, the challenge caused by age variations has not been sufficiently focused on before. In this paper, we first highlight the impact of the discrepancy between infants and adults in a quantitative way on a newly collected database. We then formulate this issue as an unsupervised domain adaptation problem and present the solution of deep transfer learning, which applies the
doi:10.1109/iccvw.2017.196
dblp:conf/iccvw/Xia0W17
fatcat:i7rxm7sfynaq5hsyn7ximx6qde