Corpus ID: 2962646

Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video

@article{Knyazev2017ConvolutionalNN,
  title={Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video},
  author={Boris Knyazev and Roman Shvetsov and N. Efremova and A. Kuharenko},
  journal={ArXiv},
  year={2017},
  volume={abs/1711.04598}
}
  • Boris Knyazev, Roman Shvetsov, +1 author A. Kuharenko
  • Published 2017
  • Computer Science
  • ArXiv
  • In this paper we describe a solution to our entry for the emotion recognition challenge EmotiW 2017. [...] Key Method Spatial features are captured by convolutional neural networks, pretrained on large face recognition datasets. We show that usage of strong industry-level face recognition networks increases the accuracy of emotion recognition. Using our ensemble we improve on the previous best result on the test set by about 1 %, achieving a 60.03 % classification accuracy without any use of visual temporal…Expand Abstract

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