└── README.md /README.md: -------------------------------------------------------------------------------- 1 |

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LSSInst: Improving Geometric Modeling in LSS-Based BEV Perception with Instance Representation 3 |

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5 | International Conference on 3D Vision (3DV), 2025 6 |
7 | Weijie Ma, 8 | Jingwei Jiang, 9 | Yang Yang, 10 | Zehui Chen, 11 | Hao Chen 12 |

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15 | 16 | [![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://lbesson.mit-license.org/) 17 | [![arXiv](https://img.shields.io/badge/arXiv-2411.06173-red)](https://arxiv.org/abs/2411.06173) 18 | 19 |
20 | 21 | ### TL; DR 22 | 23 | A novel and effective exploration of geometric modeling with intance representation for the modern LSS-based BEV detection. 24 | 25 | ### 26 | 27 | ### Code Tutorial 28 | 29 | Coming soon (approximately on July 2025 for code organization and if there are further needs before that, please feel free to email or open an issue) 30 | 31 | 32 | 33 | ### 34 | 35 | ## Citation 36 | 37 | If this work is helpful for your research, please consider citing our paper: 38 | 39 | ```bibtex 40 | @article{lssinst, 41 | title={LSSInst: Improving Geometric Modeling in LSS-Based BEV Perception with Instance Representation}, 42 | author={Weijie Ma and Jingwei Jiang and Yang Yang and Zehui Chen and Hao Chen}, 43 | journal={International Conference on 3D Vision (3DV)}, 44 | year={2025} 45 | } 46 | ``` 47 | --------------------------------------------------------------------------------