refactor

LICENSE

@@ -1,21 +1,4 @@
-MIT License
-
-Copyright (c) 2021 Fadi Boutros
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
+Attribution-NonCommercial-ShareAlike 4.0 International
+This project is licensed under the terms of the Attribution-NonCommercial-ShareAlike 4.0
+International (CC BY-NC-SA 4.0) license. 
+Copyright (c) 2021 Fraunhofer Institute for Computer Graphics Research IGD Darmstadt

README.md

@@ -1,6 +1,6 @@
 # Self-restrained Triplet Loss
 
-## This is the offical repository of the paper 'Unmasking Face Embeddings by Self-restrained Triplet Loss for Accurate Masked Face Recognition'
+## This is the official repository of the paper 'Unmasking Face Embeddings by Self-restrained Triplet Loss for Accurate Masked Face Recognition'
 
 
 ![Workflow](https://raw.githubusercontent.com/fdbtrs/Self-restrained-Triplet-Loss/master/images/workflow.png)
@@ -16,13 +16,22 @@
 -  Evaluation on IJB-C: please check evaluation instructions under [evaluation folder](https://github.com/fdbtrs/Self-restrained-Triplet-Loss/tree/master/evaluation/ijbc)
 -  Evaluation on LFW: please check evaluation instructions under [evaluation folder](https://github.com/fdbtrs/Self-restrained-Triplet-Loss/tree/master/evaluation/lfw)
 
-Citation
+##Citation
 
 If you used any of the codes provided in this repository, please cite the following paper
-
+```
 @article{boutros2021unmasking,
   title={Unmasking Face Embeddings by Self-restrained Triplet Loss for Accurate Masked Face Recognition},
   author={Boutros, Fadi and Damer, Naser and Kirchbuchner, Florian and Kuijper, Arjan},
   journal={arXiv preprint arXiv:2103.01716},
   year={2021}
 }
+```
+
+## License
+
+```
+This project is licensed under the terms of the Attribution-NonCommercial-ShareAlike 4.0 
+International (CC BY-NC-SA 4.0) license. 
+Copyright (c) 2021 Fraunhofer Institute for Computer Graphics Research IGD Darmstadt
+```