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DeepInteraction & DeepInteraction++

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

DeepInteraction++: Multi-Modality Interaction for Autonomous Driving,
Zeyu Yang, Nan Song, Wei Li, Xiatian Zhu, Li Zhang, Philip H.S. Torr
Arxiv 2024

News

Results

3D Object Detection (on nuScenes test)

ModelModalitymAPNDS
DeepInteraction-eC+L75.7476.34
DeepInteraction-largeC+L74.1275.52
DeepInteraction-baseC+L70.7873.43

3D Object Detection (on nuScenes val)

ModelModalitymAPNDSCheckpoint
DeepInteractionC+L69.8572.63Fusion_0075_refactor.pth
DeepInteraction++C+L70.6373.27Fusion_0075_plusplus.pth

Get Started

Environment

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

Data

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

Pretrained

Downloads the pretrained backbone weights to pretrained/

Train & Test

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

Acknowledgement

Many thanks to the following open-source projects:

Reference

@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}
}
@inproceedings{yang2024deepinteractionpp,
  title={DeepInteraction++: Multi-Modality Interaction for Autonomous Driving},
  author={Yang, Zeyu and Song, Nan and Li, Wei and Zhu, Xiatian and Zhang, Li and Philip H.S.},
  booktitle={Arxiv},
  year={2024}
}