From 5c53224ca685844eb27caedf22817a89233ac0ce Mon Sep 17 00:00:00 2001
From: Zhijian Liu <5782437+zhijian-liu@users.noreply.github.com>
Date: Thu, 11 Jul 2024 17:13:56 -0400
Subject: [PATCH] Update README.md

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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