[CVPR 2024] Radical: Bootstrapping Autonomous Driving Radars with Self-Supervised Learning
June 22, 2024 ยท View on GitHub
This is the official repository for the CVPR 2024 paper "Bootstrapping Autonomous Driving Radars with Self-Supervised Learning". [arxiv]
Method Overview
Pre-trained Models
The pre-trained backbones will be released soon.
Setting up the environment
Download repository
git clone https://github.com/yiduohao/Radical.git
cd Radical
Install detectron2 package
python -m pip install -e .
Radical Pre-train
Install the Radatron package
cd projects/radical
pip install -e .
Run Pre-training Scripts
bash train.sh
Radatron Fine-tune
Install the Radatron package
cd projects/radatron
pip install -e .
Run Fine-tuning Scripts
bash train.sh
Citing Radical
@InProceedings{Hao_2024_CVPR,
author = {Hao, Yiduo and Madani, Sohrab and Guan, Junfeng and Alloulah, Mohammed and Gupta, Saurabh and Hassanieh, Haitham},
title = {Bootstrapping Autonomous Driving Radars with Self-Supervised Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2024},
pages = {15012-15023}
}