From 835ef2943b6847c531165ce3df46c2025a340602 Mon Sep 17 00:00:00 2001 From: Zhijian Liu <5782437+zhijian-liu@users.noreply.github.com> Date: Thu, 11 Jul 2024 16:41:59 -0400 Subject: [PATCH] Update README.md --- README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 5596777..196279d 100644 --- a/README.md +++ b/README.md @@ -10,15 +10,15 @@ ECCV 2020 -SPVNAS achieves state-of-the-art performance on the SemanticKITTI [leaderboard](http://semantic-kitti.org/tasks.html#semseg) (as of July 2020) and outperforms [MinkowskiNet](https://arxiv.org/abs/1904.08755) with **3x speedup, 8x MACs reduction**. - ## News -**\[2020-09\]** We release the baseline training code for SPVCNN and MinkowskiNet. +* **(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. -**\[2020-08\]** 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. +* SPVNAS achieves state-of-the-art performance on the SemanticKITTI [leaderboard](http://semantic-kitti.org/tasks.html#semseg) (as of July 2020) and outperforms [MinkowskiNet](https://arxiv.org/abs/1904.08755) with **3x speedup, 8x MACs reduction**. -**\[2020-07\]** Our paper is accepted to ECCV 2020. +* **(2020/7)** Our paper is accepted to ECCV 2020. ## Usage