Update README.md

README.md

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 This is the official PyTorch implementation for paper [SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos](https://arxiv.org/abs/2308.09244). (ICCV 2023)
 
+中文解读：[https://zhuanlan.zhihu.com/p/654821380](https://zhuanlan.zhihu.com/p/654821380)
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 ## Model Zoo
 
 | Setting  | Pretrain | Training Cost | NDS<sub>val</sub> | NDS<sub>test</sub> | FPS | Weights |
@@ -139,4 +141,4 @@ Many thanks to these excellent open-source projects:
 
 * 3D Detection: [DETR3D](https://github.com/WangYueFt/detr3d), [PETR](https://github.com/megvii-research/PETR), [BEVFormer](https://github.com/fundamentalvision/BEVFormer), [BEVDet](https://github.com/HuangJunJie2017/BEVDet), [StreamPETR](https://github.com/exiawsh/StreamPETR)
 * 2D Detection: [AdaMixer](https://github.com/MCG-NJU/AdaMixer), [DN-DETR](https://github.com/IDEA-Research/DN-DETR)
-* Codebase: [MMDetection3D](https://github.com/open-mmlab/mmdetection3d), [CamLiFlow](https://github.com/MCG-NJU/CamLiFlow)
+* Codebase: [MMDetection3D](https://github.com/open-mmlab/mmdetection3d), [CamLiFlow](https://github.com/MCG-NJU/CamLiFlow)