• DOI:10.13140/RG.2.2.20841.49765
Corpus ID: 15950541

Transferring Face Verification Nets To Pain and Expression Regression

@article{Wang2017TransferringFV,
  title={Transferring Face Verification Nets To Pain and Expression Regression},
  author={Feng Wang and Xiang Xiang and Chang Liu and Trac D. Tran and Austin Reiter and Gregory D. Hager and Harry Quon and Jian Cheng and Alan L. Yuille},
  journal={ArXiv},
  year={2017},
  volume={abs/1702.06925}
}

Feng Wang, Xiang Xiang, +6 authors Alan L. Yuille

Published 2017

Computer Science

ArXiv

Limited labeled data are available for the research of estimating facial expression intensities. For instance, the ability to train deep networks for automated pain assessment is limited by small datasets with labels of patient-reported pain intensities. Fortunately, fine-tuning from a data-extensive pre-trained domain, such as face verification, can alleviate this problem. In this paper, we propose a network that fine-tunes a state-of-the-art face verification network using a regularized… CONTINUE READING

View PDF on ArXiv

Save to Library

Create Alert

Cite

Launch Research Feed