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FocalsConv
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FocalsConv

Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

by JIA-Lab-research · GitHub
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3d-object-detectionautonomous-drivingkittiApache-2.0Python
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Detect 3D objects using a specialized convolution method designed for both lidar and multi-modal data.

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2026-07-202026-08-31
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📄 About

Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

FocalsConv has 393 stars on GitHub. It has been forked 35 times. FocalsConv is written mainly in Python. It has been in active development since 2022. FocalsConv is available under the Apache-2.0 license. Its main topics are 3d-object-detection, autonomous-driving, kitti, nuscenes.

Frequently asked questions

What is FocalsConv?

Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

Is FocalsConv open source?

FocalsConv is an open-source project. It is released under the Apache-2.0 license.

Is FocalsConv free?

Yes. FocalsConv is free and open source — you can use, modify and self-host it.

What license does FocalsConv use?

FocalsConv is available under the Apache-2.0 license.

What language is FocalsConv written in?

FocalsConv is written mainly in Python.

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