Update Group-Free-3D and FCOS3D bibtex (#985)

* Update bibtex

* Update bibtex in the README

* Update bibtex in the Chinese README

* Update Group-Free-3D bibtex

* Fix to be compatible with bibtex grammer

README.md

@@ -97,9 +97,9 @@ Support methods
 - [x] [CenterPoint (CVPR'2021)](configs/centerpoint/README.md)
 - [x] [SSN (ECCV'2020)](configs/ssn/README.md)
 - [x] [ImVoteNet (CVPR'2020)](configs/imvotenet/README.md)
-- [x] [FCOS3D (Arxiv'2021)](configs/fcos3d/README.md)
+- [x] [FCOS3D (ICCVW'2021)](configs/fcos3d/README.md)
 - [x] [PointNet++ (NeurIPS'2017)](configs/pointnet2/README.md)
-- [x] [Group-Free-3D (Arxiv'2021)](configs/groupfree3d/README.md)
+- [x] [Group-Free-3D (ICCV'2021)](configs/groupfree3d/README.md)
 - [x] [ImVoxelNet (Arxiv'2021)](configs/imvoxelnet/README.md)
 - [x] [PAConv (CVPR'2021)](configs/paconv/README.md)
 

README_zh-CN.md

@@ -96,9 +96,9 @@ MMDetection3D 是一个基于 PyTorch 的目标检测开源工具箱, 下一代
 - [x] [CenterPoint (CVPR'2021)](configs/centerpoint/README.md)
 - [x] [SSN (ECCV'2020)](configs/ssn/README.md)
 - [x] [ImVoteNet (CVPR'2020)](configs/imvotenet/README.md)
-- [x] [FCOS3D (Arxiv'2021)](configs/fcos3d/README.md)
+- [x] [FCOS3D (ICCVW'2021)](configs/fcos3d/README.md)
 - [x] [PointNet++ (NeurIPS'2017)](configs/pointnet2/README.md)
-- [x] [Group-Free-3D (Arxiv'2021)](configs/groupfree3d/README.md)
+- [x] [Group-Free-3D (ICCV'2021)](configs/groupfree3d/README.md)
 - [x] [ImVoxelNet (Arxiv'2021)](configs/imvoxelnet/README.md)
 - [x] [PAConv (CVPR'2021)](configs/paconv/README.md)
 

configs/fcos3d/README.md

@@ -10,17 +10,17 @@ It serves as a baseline built on top of mmdetection and mmdetection3d for 3D det
 Currently we first support the benchmark on the large-scale nuScenes dataset, which achieved 1st place out of all the vision-only methods in the [nuScenes 3D detecton challenge](https://www.nuscenes.org/object-detection?externalData=all&mapData=all&modalities=Camera) of NeurIPS 2020.
 
 ```
-@article{wang2021fcos3d,
-  title={{FCOS3D}: Fully Convolutional One-Stage Monocular 3D Object Detection},
-  author={Wang, Tai and Zhu, Xinge and Pang, Jiangmiao and Lin, Dahua},
-  journal={arXiv preprint arXiv:2104.10956},
-  year={2021}
+@inproceedings{wang2021fcos3d,
+	title={{FCOS3D: Fully} Convolutional One-Stage Monocular 3D Object Detection},
+	author={Wang, Tai and Zhu, Xinge and Pang, Jiangmiao and Lin, Dahua},
+	booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
+	year={2021}
 }
 # For the original 2D version
 @inproceedings{tian2019fcos,
-  title     =  {{FCOS}: Fully Convolutional One-Stage Object Detection},
+  title     =  {{FCOS: Fully} Convolutional One-Stage Object Detection},
   author    =  {Tian, Zhi and Shen, Chunhua and Chen, Hao and He, Tong},
-  booktitle =  {Proc. Int. Conf. Computer Vision (ICCV)},
+  booktitle =  {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
   year      =  {2019}
 }
 ```

configs/groupfree3d/README.md

@@ -10,7 +10,7 @@ We implement Group-Free-3D and provide the result and checkpoints on ScanNet dat
 @article{liu2021,
   title={Group-Free 3D Object Detection via Transformers},
   author={Liu, Ze and Zhang, Zheng and Cao, Yue and Hu, Han and Tong, Xin},
-  journal={arXiv preprint arXiv:2104.00678},
+  journal={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
   year={2021}
 }
 ```