Sparsifying Neural Network Connections for Face Recognition

@article{Sun2016SparsifyingNN,
  title={Sparsifying Neural Network Connections for Face Recognition},
  author={Yi Sun and Xiaogang Wang and Xiaoou Tang},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={4856-4864}
}
This paper proposes to learn high-performance deep ConvNets with sparse neural connections, referred to as sparse ConvNets, for face recognition. The sparse ConvNets are learned in an iterative way, each time one additional layer is sparsified and the entire model is re-trained given the initial weights learned in previous iterations. One important finding is that directly training the sparse ConvNet from scratch failed to find good solutions for face recognition, while using a previously… 

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