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BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection ICRA 2024

Cite BEVUDA

If you use BEVDepth in your research, please cite our work by using the following BibTeX entry:

@article{liu2022multi,
  title={Multi-latent Space Alignments for Unsupervised Domain Adaptation in Multi-view 3D Object Detection},
  author={Liu, Jiaming and Zhang, Rongyu and Chi, Xiaowei and Li, Xiaoqi and Lu, Ming and Guo, Yandong and Zhang, Shanghang},
  journal={arXiv preprint arXiv:2211.17126},
  year={2022}
}

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[Official code for BEVUDA (ICRA2024)]

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