[CVPR 2024] Radical: Bootstrapping Autonomous Driving Radars with Self-Supervised Learning

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}
}