FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition

IEEE International Conference on Automatic Face & Gesture Recognition
Pages: 118 - 126
Published: May 1, 2017
Abstract
Relatively small data sets available for expression recognition research make the training of deep networks very challenging. Although fine-tuning can partially alleviate the issue, the performance is still below acceptable levels as the deep features probably contain redundant information from the pretrained domain. In this paper, we present FaceNet2ExpNet, a novel idea to train an expression recognition network based on static images. We first...
Paper Details
Title
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition
Published Date
May 1, 2017
Journal
Pages
118 - 126
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.