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## News

* **(2021/12)** SPVNAS wins the second place in the NuScenes LiDAR Panoptic Segmentation challenge.
* **(2021/5)** SPVNAS wins the first place in the NuScenes LiDAR Semantic Segmentation challenge.
* **(2020/9)** We release the baseline training code for SPVCNN and MinkowskiNet.
* **(2020/8)** Please check out our ECCV 2020 tutorial on [AutoML for Efficient 3D Deep Learning](https://www.youtube.com/watch?v=zzJR07LMXxs), which summarizes the algorithm in this codebase.
* **(2020/7)** SPVNAS achieves the state-of-the-art performance on the SemanticKITTI [leaderboard](http://semantic-kitti.org/tasks.html#semseg).
* **(2020/7)** Our paper is accepted to ECCV 2020.
* **(2023/3)** SPVNAS is integrated into [MMDetection3D](https://github.com/open-mmlab/mmdetection3d/tree/main/configs/spvcnn).
* **(2021/12)** SPVNAS wins second place in the NuScenes LiDAR Panoptic Segmentation challenge.
* **(2021/5)** SPVNAS wins first place in the NuScenes LiDAR Semantic Segmentation challenge.
* **(2020/8)** Check out our ECCV 2020 tutorial on [AutoML for Efficient 3D Deep Learning](https://www.youtube.com/watch?v=zzJR07LMXxs).
* **(2020/7)** SPVNAS achieves the state-of-the-art performance on the SemanticKITTI [leaderboard](http://semantic-kitti.org/tasks.html#semseg) leaderboard.
* **(2020/7)** SPVNAS is accepted to ECCV 2020.

## Usage

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