Awesome
<center>FrustumFormer<center>
[CVPR 2023] FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection.
Authors: Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang
<div align="center"> <img src="figs/frustum.png" alt="alt text" width="80%"> </div>
News
- [2023/3/26] We release the camera ready version.
- [2023/2/28] FrustumFormer was accepted by CVPR 2023.
Catalog
- Initialization
Getting Started
Model Zoo
NuScenes Val
| Backbone | Method | Epoch | Img | mAP | NDS | memroy | Config | Download |
|---|---|---|---|---|---|---|---|---|
| R101-DCN | FrustumFormer | 24 | 640*1600 | 0.472 | 0.553 | 40G | Frustum_r101 |
NuScenes Test
| Backbone | Method | Epoch | Img | mAP | NDS | memroy | Config | Download |
|---|---|---|---|---|---|---|---|---|
| VoV99 | FrustumFormer | 24 | 640*1600 | 0.530 | 0.595 | 40G | Frustum_vov99 |
Bibtex
If this work is helpful for your research, please consider citing the following BibTeX entry.
@inproceedings{wang2023frustumformer,
title={FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection},
author={Wang, Yuqi and Chen, Yuntao and Zhang, Zhaoxiang},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={5096--5105},
year={2023}
}
Acknowledgement
Many thanks to the following open-source projects: