DeepInteraction: 3D Object Detection via Modality Interaction,
Zeyu Yang, Jiaqi Chen, Zhenwei Miao, Wei Li, Xiatian Zhu, Li Zhang
NeurIPS 2022

• (2022/6/27) DeepInteraction-e ranks first on nuScenes among all solutions.
• (2022/6/26) DeepInteraction-large ranks first on nuScenes among all non-ensemble solutions.
• (2022/5/18) DeepInteraction-base ranks first on nuScenes among all solutions that do not use test-time augmentation and model ensemble.

This implementation is build upon mmdetection3d, please follow the steps in install.md to prepare the environment.

Please follow the official instructions of mmdetection3d to process the nuScenes dataset.(https://mmdetection3d.readthedocs.io/en/latest/datasets/nuscenes_det.html)

Downloads the pretrained backbone weights to pretrained/

# train with 8 GPUs
tools/dist_train.sh projects/configs/nuscenes/Fusion_0075_refactor.py 8
# test with 8 GPUs
tools/dist_test.sh projects/configs/nuscenes/Fusion_0075_refactor.py ${CHECKPOINT_FILE} 8 --eval=bbox

Many thanks to the following open-source projects:

• mmdetection3d
• detectron2
• transfusion

@inproceedings{yang2022deepinteraction,
  title={DeepInteraction: 3D Object Detection via Modality Interaction},
  author={Yang, Zeyu and Chen, Jiaqi and Miao, Zhenwei and Li, Wei and Zhu, Xiatian and Zhang, Li},
  booktitle={NeurIPS},
  year={2022}
}