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README.md

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-# DynamicConvolution_FBP
-
+# Attribute-Aware Convolutional Neural Networks for Facial Beauty Prediction
+
+Attribute-Aware Convolutional Neural Network (AaConv-Net) is a dynamic CNN architecture to integrate the aesthetic-related attribute information that promotes the performance of facial beauty prediction finally.
+
+## Versions
+There are two options for implementing AaConv-Net, including Caffe and Pytorch versions.
+BTW, Pytorch version is coming soon...
+
+## Citation
+Please cite our paper:
+```
+@article{lin2019regression,
+  title={Attribute-Aware Convolutional Neural Networks for Facial Beauty Prediction},
+  author={Lin, Luojun and Liang, Lingyu and Jin, Lianwen and Chen, Weijie},
+  journal={International Joint Conference on Artificial Intelligence},
+  year={2019}
+}
+```
+
+## Contact Us
+For any questions, please feel free to contact Dr. Lin ([email protected]).
+
+## Copyright
+This code is free to the academic community for research purpose only. For commercial purpose usage, please contact Prof. Lianwen Jin ([email protected]).