Facial_attribute_segmentation

Implemeting Improving Facial Attribute Prediction using Semantic Segmentation using Pytorch

Enviroment and Datasets Used

• Linux
• Pytorch 4.0
• Keras 2.2.4
• CUDA 9.1
• UTKFace CelebA

References

@inproceedings{zhifei2017cvpr,
 title={Age Progression/Regression by Conditional Adversarial Autoencoder},
 author={Zhang, Zhifei, Song, Yang, and Qi, Hairong},
 booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year={2017},
 organization={IEEE}

@inproceedings{liu2015faceattributes,
author = {Ziwei Liu and Ping Luo and Xiaogang Wang and Xiaoou Tang},
title = {Deep Learning Face Attributes in the Wild},
booktitle = {Proceedings of International Conference on Computer Vision (ICCV)},
month = December,
year = {2015} 
}

@article{DBLP:journals/corr/KalayehGS17,
  author    = {Mahdi M. Kalayeh and
               Boqing Gong and
               Mubarak Shah},
  title     = {Improving Facial Attribute Prediction using Semantic Segmentation},
  journal   = {CoRR},
  volume    = {abs/1704.08740},
  year      = {2017},
  url       = {http://arxiv.org/abs/1704.08740},
  archivePrefix = {arXiv},
  eprint    = {1704.08740},
  timestamp = {Mon, 13 Aug 2018 16:48:45 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/KalayehGS17},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}