FB-BEV & FB-OCC: Forward-Backward View Transformations for Occupancy Prediction.
News
[2023/8/01]FB-BEV was accepted to ICCV 2023.- ๐
[2023/6/16]FB-OCC wins both Outstanding Champion and Innovation Award in Autonomous Driving Challenge in conjunction with CVPR 2023 End-to-End Autonomous Driving Workshop and Vision-Centric Autonomous Driving Workshop.
Getting Started
INTRODUCTION
FB-BEV and FB-OCC are vision-centric autonomous driving perception algorithms based on forward-backward view transformation strategies.
Model Zoo
| Backbone | Method | Lr Schd | IoU | Config | Download |
|---|---|---|---|---|---|
| R50 | FB-OCC | 20ep | 39.1 | config | model |
- More model weights will be released later.
Acknowledgement
Many thanks to these excellent open source projects:
BibTeX
If this work is helpful for your research, please consider citing:
@article{Li2023FBBEV,
title={FB-BEV: BEV Representation from Forward-Backward View Transformations},
author={Zhiqi Li and Zhiding Yu and Wenhai Wang and Anima Anandkumar and Tong Lu and Jos{\'e} Manuel {\'A}lvarez},
year={2023},
journal={IEEE/CVF International Conference on Computer Vision (ICCV)},
}