Deep Learning Face Attributes in the Wild

@article{Liu2015DeepLF,
  title={Deep Learning Face Attributes in the Wild},
  author={Ziwei Liu and Ping Luo and Xiaogang Wang and Xiaoou Tang},
  journal={2015 IEEE International Conference on Computer Vision (ICCV)},
  year={2015},
  pages={3730-3738}
}
  • Ziwei LiuPing Luo Xiaoou Tang
  • Published 27 November 2014
  • Computer Science
  • 2015 IEEE International Conference on Computer Vision (ICCV)
Predicting face attributes in the wild is challenging due to complex face variations. [] Key Result (3) It also demonstrates that the high-level hidden neurons of ANet automatically discover semantic concepts after pre-training with massive face identities, and such concepts are significantly enriched after fine-tuning with attribute tags. Each attribute can be well explained with a sparse linear combination of these concepts.

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