sankin97 / HMFI

[ECCV2022] Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection

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HMFI


Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection (Paper and Codes Coming Soon ~)

KITTI

The results are the 3D detection performance of moderate difficulty on the val set of KITTI dataset.

Model Car@R11 Pedestrian@R11 Cyclist@R11
SECOND 78.27 53.23 65.64
SECOND+HMFI 78.72 55.32 69.13
Voxel-RCNN 84.27 60.11 72.07
Voxel-RCNN+HMFI 85.14 62.41 74.11

Installation

Please refer to INSTALL.md.

Getting Started

Please refer to GETTING_STARTED.md.

Acknowledgement

Our code is heavily based on OpenPCDet and MMDetection. Thanks their awesome codebase.

Citation

If you find this project useful in your research, please consider cite:


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[ECCV2022] Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection


Languages

Language:Cuda 68.9%Language:C++ 29.6%Language:C 1.6%