Added sources files and updated README.

README.md

@@ -1 +1,19 @@
-# box_regression-kl_loss
+# Accurate Prediction of Bounding Boxes in Object Detection
+
+## Introduction
+This repository contains experiments to reproduce the results of the paper [Bounding Box Regression with Uncertainty for Accurate Object Detection (He et al.)](https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Bounding_Box_Regression_With_Uncertainty_for_Accurate_Object_Detection_CVPR_2019_paper.pdf). For more details, check out this [report](report.pdf) / [slides](slides.pptx) / [presentation](https://youtu.be/2Mfxi8NbSPo).
+
+## Running Experiments
+- Run the notebook file `kl_loss_MMDet.ipynb` with CPU configuration and follow the instructions in the file.
+- Run the notebook file `kl_loss_pytorch.ipynb` and follow the instructions in the file. Note that Google Drive has been linked to the notebook for data and output storage.
+
+## Contributing
+
+Pull requests are welcome. For major changes, please open an issue first
+to discuss what you would like to change.
+
+Please make sure to update tests as appropriate.
+
+## License
+
+[MIT](https://choosealicense.com/licenses/mit/)