Deep face attributes recognition using spatial transformer network

@article{Tan2016DeepFA,
  title={Deep face attributes recognition using spatial transformer network},
  author={Lianzhi Tan and Zhifeng Li and Qiao Yu},
  journal={2016 IEEE International Conference on Information and Automation (ICIA)},
  year={2016},
  pages={1928-1932}
}
Face alignment is very crucial to the task of face attributes recognition. The performance of face attributes recognition would notably degrade if the fiducial points of the original face images are not precisely detected due to large lighting, pose and occlusion variations. In order to alleviate this problem, we propose a spatial transform based deep CNNs to improve the performance of face attributes recognition. In this approach, we first learn appropriate transformation parameters by a… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 22 REFERENCES

Deep Face Recognition

VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

Deep Learning Face Attributes in the Wild

  • 2015 IEEE International Conference on Computer Vision (ICCV)
  • 2014
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

PANDA: Pose Aligned Networks for Deep Attribute Modeling

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition
  • 2013
VIEW 8 EXCERPTS
HIGHLY INFLUENTIAL

Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2016
VIEW 2 EXCERPTS

Learning Social Relation Traits from Face Images

  • 2015 IEEE International Conference on Computer Vision (ICCV)
  • 2015
VIEW 1 EXCERPT