This repository contains experiments to reproduce the results of the paper Bounding Box Regression with Uncertainty for Accurate Object Detection (He et al.). For more details, check out this report / slides / presentation.
- 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.
See a visualization of the objects getting detected using this app.
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.