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[ICLR'25] Learning 3D Perception from Others' Predictions

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Learning 3D Perception from Others' Predictions πŸš— πŸš™

This repository contains R&B-POP, a new way to construct 3D object detector by leveraging nearby units' predictions.

πŸ“– Paper | πŸ“‹ Project page

πŸ—“οΈ TODO

  • Release code
  • Release model weights

πŸ“ Citation

If you find our work helpful for your research, please consider citing our paper:

@inproceedings{yoo2025rnbpop,
  title={Learning 3D Perception from Others' Predictions},
  author={Yoo, Jinsu and Feng, Zhenyang and Pan, Tai-Yu and Sun, Yihong and Phoo, Cheng Perng and Chen, Xiangyu and Campbell, Mark and Weinberger, Kilian Q and Hariharan, Bharath and Chao, Wei-Lun},
  booktitle={International Conference on Learning Representations (ICLR)},
  year={2025}
}

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